static void Main(string[] args)
{
if (args.Length < 1) {
Console.Out.WriteLine("Usage: feasopt_cs filename");
return;
}
try {
GRBEnv env = new GRBEnv();
GRBModel feasmodel = new GRBModel(env, args[0]);
// Create a copy to use FeasRelax feature later */
GRBModel feasmodel1 = new GRBModel(feasmodel);
// Clear objective
feasmodel.SetObjective(new GRBLinExpr());
// Add slack variables
GRBConstr[] c = feasmodel.GetConstrs();
for (int i = 0; i < c.Length; ++i) {
char sense = c[i].Get(GRB.CharAttr.Sense);
if (sense != '>') {
GRBConstr[] constrs = new GRBConstr[] { c[i] };
double[] coeffs = new double[] { -1 };
feasmodel.AddVar(0.0, GRB.INFINITY, 1.0, GRB.CONTINUOUS, constrs,
coeffs, "ArtN_" + c[i].Get(GRB.StringAttr.ConstrName));
}
if (sense != '<') {
GRBConstr[] constrs = new GRBConstr[] { c[i] };
double[] coeffs = new double[] { 1 };
feasmodel.AddVar(0.0, GRB.INFINITY, 1.0, GRB.CONTINUOUS, constrs,
coeffs, "ArtP_" +
c[i].Get(GRB.StringAttr.ConstrName));
}
}
feasmodel.Update();
// Optimize modified model
feasmodel.Write("feasopt.lp");
feasmodel.Optimize();
// Use FeasRelax feature */
feasmodel1.FeasRelax(GRB.FEASRELAX_LINEAR, true, false, true);
feasmodel1.Write("feasopt1.lp");
feasmodel1.Optimize();
// Dispose of model and env
feasmodel1.Dispose();
feasmodel.Dispose();
env.Dispose();
} catch (GRBException e) {
Console.WriteLine("Error code: " + e.ErrorCode + ". " + e.Message);
}
}
static void Main()
{
try {
GRBEnv env = new GRBEnv("mip1.log");
GRBModel model = new GRBModel(env);
// Create variables
GRBVar x = model.AddVar(0.0, 1.0, 0.0, GRB.BINARY, "x");
GRBVar y = model.AddVar(0.0, 1.0, 0.0, GRB.BINARY, "y");
GRBVar z = model.AddVar(0.0, 1.0, 0.0, GRB.BINARY, "z");
// Integrate new variables
model.Update();
// Set objective: maximize x + y + 2 z
model.SetObjective(x + y + 2 * z, GRB.MAXIMIZE);
// Add constraint: x + 2 y + 3 z <= 4
model.AddConstr(x + 2 * y + 3 * z <= 4.0, "c0");
// Add constraint: x + y >= 1
model.AddConstr(x + y >= 1.0, "c1");
// Optimize model
model.Optimize();
Console.WriteLine(x.Get(GRB.StringAttr.VarName)
+ " " + x.Get(GRB.DoubleAttr.X));
Console.WriteLine(y.Get(GRB.StringAttr.VarName)
+ " " + y.Get(GRB.DoubleAttr.X));
Console.WriteLine(z.Get(GRB.StringAttr.VarName)
+ " " + z.Get(GRB.DoubleAttr.X));
Console.WriteLine("Obj: " + model.Get(GRB.DoubleAttr.ObjVal));
// Dispose of model and env
model.Dispose();
env.Dispose();
} catch (GRBException e) {
Console.WriteLine("Error code: " + e.ErrorCode + ". " + e.Message);
}
}
public static void Main(String[] args)
{
if (args.Length < 1)
{
Console.WriteLine("Usage: tsp_cs nnodes");
return;
}
int n = Convert.ToInt32(args[0]);
try {
GRBEnv env = new GRBEnv();
GRBModel model = new GRBModel(env);
// Must set LazyConstraints parameter when using lazy constraints
model.Parameters.LazyConstraints = 1;
double[] x = new double[n];
double[] y = new double[n];
Random r = new Random();
for (int i = 0; i < n; i++)
{
x[i] = r.NextDouble();
y[i] = r.NextDouble();
}
// Create variables
GRBVar[,] vars = new GRBVar[n, n];
for (int i = 0; i < n; i++)
{
for (int j = 0; j <= i; j++)
{
vars[i, j] = model.AddVar(0.0, 1.0, distance(x, y, i, j),
GRB.BINARY, "x" + i + "_" + j);
vars[j, i] = vars[i, j];
}
}
// Degree-2 constraints
for (int i = 0; i < n; i++)
{
GRBLinExpr expr = 0;
for (int j = 0; j < n; j++)
{
expr.AddTerm(1.0, vars[i, j]);
}
model.AddConstr(expr == 2.0, "deg2_" + i);
}
// Forbid edge from node back to itself
for (int i = 0; i < n; i++)
{
vars[i, i].UB = 0.0;
}
model.SetCallback(new tsp_cs(vars));
model.Optimize();
if (model.SolCount > 0)
{
int[] tour = findsubtour(model.Get(GRB.DoubleAttr.X, vars));
Console.Write("Tour: ");
for (int i = 0; i < tour.Length; i++)
{
Console.Write(tour[i] + " ");
}
Console.WriteLine();
}
// Dispose of model and environment
model.Dispose();
env.Dispose();
} catch (GRBException e) {
Console.WriteLine("Error code: " + e.ErrorCode + ". " + e.Message);
Console.WriteLine(e.StackTrace);
}
}
public BalanceOutput BalanceGurobiForGLR(double[] x0, double[,] a, double[,] h, double[] d, double[] technologicLowerBound, double[] technologicUpperBound, double[] metrologicLowerBound, double[] metrologicUpperBound)
{
try
{
GRBEnv env = new GRBEnv();
GRBModel model = new GRBModel(env);
double[] results = new double[x0.Length];
if (inputData.balanceSettings.balanceSettingsConstraints == BalanceSettings.BalanceSettingsConstraints.TECHNOLOGIC)
{
//Create variables
GRBVar[] varsTechnologic = new GRBVar[a.Columns()];
for (int i = 0; i < varsTechnologic.Length; i++)
{
varsTechnologic[i] = model.AddVar(technologicLowerBound[i], technologicUpperBound[i], 0.0, GRB.CONTINUOUS, "x" + i);
}
//Set objective
GRBQuadExpr objTechnologic = new GRBQuadExpr();
for (int i = 0; i < varsTechnologic.Length; i++)
{
objTechnologic.AddTerm(h[i, i] / 2.0, varsTechnologic[i], varsTechnologic[i]);
}
for (int i = 0; i < varsTechnologic.Length; i++)
{
objTechnologic.AddTerm(d[i], varsTechnologic[i]);
}
model.SetObjective(objTechnologic);
//Add constraints
GRBLinExpr expr;
for (int i = 0; i < a.Rows(); i++)
{
expr = new GRBLinExpr();
for (int j = 0; j < a.Columns(); j++)
{
expr.AddTerm(a[i, j], varsTechnologic[j]);
}
model.AddConstr(expr, GRB.EQUAL, 0.0, "c" + i);
}
// Optimize model
model.Optimize();
//results = new double[varsTechnologic.Length];
for (int i = 0; i < results.Length; i++)
{
results[i] = varsTechnologic[i].Get(GRB.DoubleAttr.X);
}
}
else
{
//Create variables
GRBVar[] varsMetrologic = new GRBVar[a.Columns()];
for (int i = 0; i < varsMetrologic.Length; i++)
{
varsMetrologic[i] = model.AddVar(metrologicLowerBound[i], metrologicUpperBound[i], 0.0, GRB.CONTINUOUS, "x" + i);
}
//Set objective
GRBQuadExpr objMetrologic = new GRBQuadExpr();
for (int i = 0; i < varsMetrologic.Length; i++)
{
objMetrologic.AddTerm(h[i, i] / 2.0, varsMetrologic[i], varsMetrologic[i]);
}
for (int i = 0; i < varsMetrologic.Length; i++)
{
objMetrologic.AddTerm(d[i], varsMetrologic[i]);
}
model.SetObjective(objMetrologic);
//Add constraints
GRBLinExpr expr;
for (int i = 0; i < a.Rows(); i++)
{
expr = new GRBLinExpr();
for (int j = 0; j < a.Columns(); j++)
{
expr.AddTerm(a[i, j], varsMetrologic[j]);
}
model.AddConstr(expr, GRB.EQUAL, 0.0, "c" + i);
}
// Optimize model
model.Optimize();
//results = new double[varsMetrologic.Length];
for (int i = 0; i < results.Length; i++)
{
results[i] = varsMetrologic[i].Get(GRB.DoubleAttr.X);
}
}
model.Dispose();
env.Dispose();
BalanceOutput outb = new BalanceOutput();
var balanceOutputVars = new List <OutputVariables>();
for (int i = 0; i < measuredValues.Count; i++)
{
InputVariables outputVariable = inputData.BalanceInputVariables[i];
balanceOutputVars.Add(new OutputVariables()
{
id = outputVariable.id,
name = outputVariable.name,
value = results[i],
source = outputVariable.sourceId,
target = outputVariable.destinationId
});
}
outb.balanceOutputVariables = balanceOutputVars;
outb.GlobaltestValue = GTR;
outb.Status = "Success";
return(outb);
}
catch (Exception e)
{
return(new BalanceOutput
{
Status = e.Message,
});
}
}
static void Main(string[] args)
{
//Deserializar o arquivo Json para o c#
//JavaScriptSerializer serializer = new System.Web.Script.Serialization.JavaScriptSerializer();
var json = File.ReadAllText("C:\\Users\\ruany\\Documents\\dissertacao\\gerador-instancias\\instanciaT11E8D10F6.json");
Parametros instancia = JsonConvert.DeserializeObject <Parametros>(json);
// matrizes que irão guardar as soluções do Relax and Fix
double[,,] matriz_RaF_x = new double[instancia.crew, instancia.task, instancia.date];
double[,] matriz_RaF_x3 = new double[instancia.task, instancia.date];
double[,] matriz_RaF_x2 = new double[instancia.task, instancia.date];
double[] matriz_RaF_x4 = new double[instancia.task];
double[,,] matriz_RaF_x5 = new double[instancia.crew, instancia.task, instancia.date];
double[,] matriz_RaF_x6 = new double[instancia.task, instancia.date];
double[,] matriz_RaF_y = new double[instancia.crew, instancia.date];
double[,,] matriz_RaF_z = new double[instancia.crew, instancia.task, instancia.date];
double[,] matriz_RaF_z1 = new double[instancia.crew, instancia.task];
double[,,] matriz_RaF_w = new double[instancia.crew, instancia.technical_place, instancia.date];
double[,,,] matriz_RaF_v = new double[instancia.crew, instancia.technical_place, instancia.technical_place, instancia.date];
double[,,] matriz_RaF_w1 = new double[instancia.crew, instancia.technical_place, instancia.date];
double[,,] matriz_RaF_w2 = new double[instancia.crew, instancia.technical_place, instancia.date];
//tempo por iteração
double tempo_iteracao, tempo_total;
//status de cada iteração
int status_RF;
//lista
List <double> lista_RF = new List <double>();
double soma_RF = 0;
//função Relax and Fix
void modelo_RelaxAndFixData(int iteracao)
{
//Modelo
GRBEnv ambiente = new GRBEnv();
GRBModel modelo = new GRBModel(ambiente);
//número grande
int M = 1000;
//Variáveis
//fração da tarefa i que o membro de equipe n completa na data j
GRBVar[,,] x = new GRBVar[instancia.crew, instancia.task, instancia.date];
for (int n = 0; n < instancia.crew; n++)
{
for (int i = 0; i < instancia.task; i++)
{
for (int j = 0; j < instancia.date; j++)
{
x[n, i, j] = modelo.AddVar(0, 1, 0, GRB.CONTINUOUS, "x_" + n + "_" + i + "_" + j);
}
}
}
//fração da tarefa i que é completada na data j
GRBVar[,] x3 = new GRBVar[instancia.task, instancia.date];
for (int i = 0; i < instancia.task; i++)
{
for (int j = 0; j < instancia.date; j++)
{
x3[i, j] = modelo.AddVar(0, 1, 0, GRB.CONTINUOUS, "x3_" + i + "_" + j);
}
}
//1 se alguma tarefa i é completada na data j
GRBVar[,] x2 = new GRBVar[instancia.task, instancia.date];
for (int i = 0; i < instancia.task; i++)
{
for (int j = 0; j < instancia.date; j++)
{
x2[i, j] = modelo.AddVar(0, 1, 0, GRB.CONTINUOUS, "x2_" + i + "_" + j);
}
}
//1 se a tarefa i é concluída dentro do horizonte de planejamento
GRBVar[] x4 = new GRBVar[instancia.task];
for (int i = 0; i < instancia.task; i++)
{
x4[i] = modelo.AddVar(0, 1, instancia.c[i] * 2, GRB.CONTINUOUS, "x4_" + i);
}
//variável fantasma
GRBVar[] vf = new GRBVar[instancia.task];
for (int i = 0; i < instancia.task; i++)
{
vf[i] = modelo.AddVar(1, 1, instancia.c[i] * 2, GRB.BINARY, "vf_" + i);
}
//1 se o membro de equipe n está trabalhando na tarefa i na data j mas não na data j+1
GRBVar[,,] x5 = new GRBVar[instancia.crew, instancia.task, instancia.date];
for (int n = 0; n < instancia.crew; n++)
{
for (int i = 0; i < instancia.task; i++)
{
for (int j = 0; j < instancia.date; j++)
{
x5[n, i, j] = modelo.AddVar(0, 1, 0.1, GRB.CONTINUOUS, "x5_" + n + "_" + i + "_" + j);
}
}
}
//1 se parte da tarefa i é completada na data j mas não na data j+1
GRBVar[,] x6 = new GRBVar[instancia.task, instancia.date];
for (int i = 0; i < instancia.task; i++)
{
for (int j = 0; j < instancia.date; j++)
{
x6[i, j] = modelo.AddVar(0, 1, 0.9, GRB.CONTINUOUS, "x6_" + i + "_" + j);
}
}
//1 se o membro da equipe n vai trabalhar na data j
GRBVar[,] y = new GRBVar[instancia.crew, instancia.date];
for (int n = 0; n < instancia.crew; n++)
{
for (int j = 0; j < instancia.date; j++)
{
y[n, j] = modelo.AddVar(0, 1, instancia.hours_per_shift, GRB.CONTINUOUS, "y_" + n + "_" + j);
}
}
//1 se membro da equipe n trabalha na tarefa i na data j
GRBVar[,,] z = new GRBVar[instancia.crew, instancia.task, instancia.date];
for (int n = 0; n < instancia.crew; n++)
{
for (int i = 0; i < instancia.task; i++)
{
for (int j = 0; j < instancia.date; j++)
{
z[n, i, j] = modelo.AddVar(0, 1, 0.5, GRB.CONTINUOUS, "z_" + n + "_" + i + "_" + j);
}
}
}
//1 se o membro de equipe n trabalha na tarefa i
GRBVar[,] z1 = new GRBVar[instancia.crew, instancia.task];
for (int n = 0; n < instancia.crew; n++)
{
for (int i = 0; i < instancia.task; i++)
{
z1[n, i] = modelo.AddVar(0, 1, 0.1, GRB.CONTINUOUS, "z1_" + n + "_" + i);
}
}
//1 se o membro de equipe n trabalha no local técnico p na data j
GRBVar[,,] w = new GRBVar[instancia.crew, instancia.technical_place, instancia.date];
for (int n = 0; n < instancia.crew; n++)
{
for (int p = 0; p < instancia.technical_place; p++)
{
for (int j = 0; j < instancia.date; j++)
{
w[n, p, j] = modelo.AddVar(0, 1, 0, GRB.CONTINUOUS, "w_" + n + "_" + p + "_" + j);
}
}
}
//1 se o membro de equipe n precisa de transporte entre o local técnico o e o local q na instancia.date j
GRBVar[,,,] v = new GRBVar[instancia.crew, instancia.technical_place, instancia.technical_place, instancia.date];
for (int n = 0; n < instancia.crew; n++)
{
for (int p = 0; p < instancia.technical_place; p++)
{
for (int q = 0; q < instancia.technical_place; q++)
{
for (int j = 0; j < instancia.date; j++)
{
v[n, p, q, j] = modelo.AddVar(0, 1, 0, GRB.CONTINUOUS, "v_" + n + "_" + p + "_" + q + "_" + j);
}
}
}
}
//se a equipe n precisa de transporte para o local técnico p de outro local técnico na data j
GRBVar[,,] w1 = new GRBVar[instancia.crew, instancia.technical_place, instancia.date];
for (int n = 0; n < instancia.crew; n++)
{
for (int p = 0; p < instancia.technical_place; p++)
{
for (int j = 0; j < instancia.date; j++)
{
w1[n, p, j] = modelo.AddVar(0, 1, 0, GRB.CONTINUOUS, "w1_" + n + "_" + p + "_" + j);
}
}
}
//se a equipe n precisa de transporte do local técnico p para outro local técnico
GRBVar[,,] w2 = new GRBVar[instancia.crew, instancia.technical_place, instancia.date];
for (int n = 0; n < instancia.crew; n++)
{
for (int p = 0; p < instancia.technical_place; p++)
{
for (int j = 0; j < instancia.date; j++)
{
w2[n, p, j] = modelo.AddVar(0, 1, 0, GRB.CONTINUOUS, "w2_" + n + "_" + p + "_" + j);
}
}
}
//Função objetivo
modelo.ModelSense = GRB.MINIMIZE;
//Restrições
GRBLinExpr exp = 0.0;
GRBLinExpr exp2 = 0.0;
GRBLinExpr exp3 = 0.0;
//Restrições com relação a tarefa
//restrição 2
//a tarefa deve ser concluída dentro do horizonte de planejamento
for (int i = 0; i < instancia.task; i++)
{
exp.Clear();
for (int n = 0; n < instancia.crew; n++)
{
for (int j = 0; j < instancia.date; j++)
{
exp.AddTerm(1, x[n, i, j]);
}
}
modelo.AddConstr(exp == x4[i], "R2_" + i);
}
//restrição 3
//o número total de horas por turno não deve ser excedido
for (int j = 0; j < instancia.date; j++)
{
for (int n = 0; n < instancia.crew; n++)
{
exp.Clear();
exp2.Clear();
exp3.Clear();
for (int i = 0; i < instancia.task; i++)
{
exp.AddTerm(instancia.c[i], x[n, i, j]);
}
for (int p = 0; p < instancia.technical_place; p++)
{
exp2.AddTerm(2 * instancia.tm[p], w[n, p, j]);
exp2.AddTerm(-instancia.tm[p], w1[n, p, j]);
exp2.AddTerm(-instancia.tm[p], w2[n, p, j]);
}
for (int p = 0; p < instancia.technical_place; p++)
{
for (int q = 0; q < instancia.technical_place; q++)
{
exp3.AddTerm(instancia.tr[p, q], v[n, p, q, j]);
}
}
modelo.AddConstr(exp + exp2 + exp3 <= instancia.hours_per_shift, "R3_" + j + "_" + n);
}
}
//restrição 4
//a soma das frações das tarefas locadas não pode exceder o total para completar a tarefa
for (int i = 0; i < instancia.task; i++)
{
for (int j = 0; j < instancia.date; j++)
{
exp.Clear();
for (int n = 0; n < instancia.crew; n++)
{
exp.AddTerm(1, x[n, i, j]);
}
modelo.AddConstr(x2[i, j] >= exp, "R4_" + i + "_" + j);
}
}
//restrição 5
//soma de das frações dos membros e equipe num dado dia deve ser igual a x3
for (int i = 0; i < instancia.task; i++)
{
for (int j = 0; j < instancia.date; j++)
{
exp.Clear();
for (int n = 0; n < instancia.crew; n++)
{
exp.AddTerm(1, x[n, i, j]);
}
modelo.AddConstr(x3[i, j] == exp, "R5_" + i + "_" + j);
}
}
//restrição 6
//a tarefa i deve ser completada dentro do horizonte de planejamento se gi=1
for (int i = 0; i < instancia.task; i++)
{
modelo.AddConstr(x4[i] >= instancia.g[i], "R6_" + i);
}
//restrição 7
//fração da tarefa que é completada num dado dia não deve exceder X4
for (int n = 0; n < instancia.crew; n++)
{
for (int i = 0; i < instancia.task; i++)
{
for (int j = 0; j < instancia.date; j++)
{
modelo.AddConstr(x4[i] >= x[n, i, j], "R7_" + n + "_" + i + "_" + j);
}
}
}
//restrição 8
//um membro de equipe não pode ser locado a uma tarefa em um dia em que ele não trabalha
for (int n = 0; n < instancia.crew; n++)
{
for (int i = 0; i < instancia.task; i++)
{
for (int j = 0; j < instancia.date; j++)
{
modelo.AddConstr(y[n, j] >= z[n, i, j], "R8_" + n + "_" + i + "_" + j);
}
}
}
//restrição 9
//se o membro de equipe é locado para uma tarefa então z=1
for (int n = 0; n < instancia.crew; n++)
{
for (int i = 0; i < instancia.task; i++)
{
for (int j = 0; j < instancia.date; j++)
{
modelo.AddConstr(z[n, i, j] >= x[n, i, j], "R9_" + n + "_" + i + "_" + j);
}
}
}
//restrição 10
//a variável z não pode ser 1 se a equipe n não trabalha num dado dia
for (int n = 0; n < instancia.crew; n++)
{
for (int i = 0; i < instancia.task; i++)
{
for (int j = 0; j < instancia.date; j++)
{
modelo.AddConstr(z[n, i, j] <= M * x[n, i, j], "R10_" + n + "_" + i + "_" + j);
}
}
}
//restrição 11
for (int n = 0; n < instancia.crew; n++)
{
for (int i = 0; i < instancia.task; i++)
{
for (int j = 0; j < instancia.date; j++)
{
modelo.AddConstr(z1[n, i] >= z[n, i, j], "R11_" + n + "_" + i + "_" + j);
}
}
}
//Restrições de gerenciemanto
//restrição 12
//preferencalmente uma tarefa deve concluida pela mesma pessoa que começou trabalhando nela
for (int n = 0; n < instancia.crew; n++)
{
for (int i = 0; i < instancia.task; i++)
{
for (int j = 0; j < instancia.date - 1; j++)
{
modelo.AddConstr(x5[n, i, j] >= z[n, i, j] - z[n, i, j + 1], "R12_" + n + "_" + i + "_" + j);
}
}
}
//restrição 13
//uma penalidade será dada ao planejamento se a tarefa i é completada em dias não consecutivos
for (int i = 0; i < instancia.task; i++)
{
for (int j = 0; j < instancia.date - 1; j++)
{
modelo.AddConstr(x6[i, j] >= x2[i, j] - x2[i, j + 1], "R13_" + i + "_" + j);
}
}
//restrição 14
//o número mínimo de membros de equipe que podem trabalhar simultaneamente em uma tarefa
for (int i = 0; i < instancia.task; i++)
{
for (int j = 0; j < instancia.date; j++)
{
exp.Clear();
for (int n = 0; n < instancia.crew; n++)
{
exp.AddTerm(1, z[n, i, j]);
}
modelo.AddConstr(exp >= instancia.d1[i] * x2[i, j], "R14_" + i + "_" + j);
}
}
//restrição 15
//o número máximo de membros de equipe que podem trablhar simultaneamente em uma tarefa
for (int i = 0; i < instancia.task; i++)
{
for (int j = 0; j < instancia.date; j++)
{
exp.Clear();
for (int n = 0; n < instancia.crew; n++)
{
exp.AddTerm(1, z[n, i, j]);
}
modelo.AddConstr(exp <= instancia.d2[i] * x2[i, j], "R15_" + i + "_" + j);
}
}
//restrição 16
//número mínimo de membros para trabalhar em um tarefa deve ser respeitado
for (int n = 0; n < instancia.crew; n++)
{
for (int i = 0; i < instancia.task; i++)
{
for (int j = 0; j < instancia.date; j++)
{
modelo.AddConstr(x[n, i, j] <= x3[i, j] / instancia.d1[i], "R16_" + n + "_" + i + "_" + j);
}
}
}
//restrição 17
//membros de equipe não podem trabalhar em dias em que eles não estão disponíveis
for (int n = 0; n < instancia.crew; n++)
{
for (int i = 0; i < instancia.task; i++)
{
for (int j = 0; j < instancia.date; j++)
{
modelo.AddConstr(z[n, i, j] <= instancia.e[n, j], "R17_" + n + "_" + i + "_" + j);
}
}
}
//Restrições com relação a competência
//restrição 18
//a combinação do nível de competencias de todos os membros
//de equipe deve ser suficiente para cada tarefa
for (int i = 0; i < instancia.task; i++)
{
for (int j = 0; j < instancia.date; j++)
{
for (int k = 0; k < instancia.competencies; k++)
{
exp.Clear();
for (int n = 0; n < instancia.crew; n++)
{
exp.AddTerm(instancia.bm3[n, k], z[n, i, j]);
}
modelo.AddConstr(exp >= x2[i, j] * instancia.bo[i, k] * instancia.level_total, "R18_" + i + "_" + j + "_" + k);
}
}
}
//restrição 19
//pelo menos um membro de equipe deve ter nível 3 de competencia para a tarefa i
for (int i = 0; i < instancia.task; i++)
{
for (int j = 0; j < instancia.date; j++)
{
for (int k = 0; k < instancia.competencies; k++)
{
exp.Clear();
for (int n = 0; n < instancia.crew; n++)
{
exp.AddTerm(instancia.bm[n, k], z[n, i, j]);
}
modelo.AddConstr(exp >= x2[i, j] * instancia.bo[i, k], "R19_" + i + "_" + j + "_" + k);
}
}
}
//restrição 20
//pelo menos um mebro de equipe tem nível de competencia 3 se vários membros de equipe trabalham na mesma tarefa
for (int i = 0; i < instancia.task; i++)
{
for (int j = 0; j < instancia.date; j++)
{
for (int k = 0; k < instancia.competencies; k++)
{
exp.Clear();
exp2.Clear();
for (int n = 0; n < instancia.crew; n++)
{
exp.AddTerm(instancia.bm[n, k], x[n, i, j]);
exp2.AddTerm(instancia.bm2[n, k], x[n, i, j]);
}
modelo.AddConstr(exp >= exp2 * (double)(1 / instancia.d1[i]), "R20_" + i + "_" + j + "_" + k);
}
}
}
//Restrições com relação ao transporte
//restrição 21
//cada membro de equipe trabalha em um local técnico em que a tarefa está localizada
for (int n = 0; n < instancia.crew; n++)
{
for (int p = 0; p < instancia.technical_place; p++)
{
for (int j = 0; j < instancia.date; j++)
{
exp.Clear();
for (int i = 0; i < instancia.task; i++)
{
exp.AddTerm(instancia.tp[i, p], z[n, i, j]);
}
modelo.AddConstr(w[n, p, j] <= exp, "R21_" + n + "_" + p + "_" + j);
}
}
}
//restrição 22
for (int n = 0; n < instancia.crew; n++)
{
for (int p = 0; p < instancia.technical_place; p++)
{
for (int j = 0; j < instancia.date; j++)
{
exp.Clear();
for (int i = 0; i < instancia.task; i++)
{
exp.AddTerm(instancia.tp[i, p], z[n, i, j]);
}
modelo.AddConstr(w[n, p, j] * M >= exp, "R22_" + n + "_" + p + "_" + j);
}
}
}
//restrição 23
//o membro de equipe só é transportado entre os locais técnicos que as tarefas dele estão localizadas
for (int n = 0; n < instancia.crew; n++)
{
for (int p = 0; p < instancia.technical_place; p++)
{
for (int j = 0; j < instancia.date; j++)
{
exp.Clear();
for (int q = 0; q < instancia.technical_place; q++)
{
exp.AddTerm(1, v[n, p, q, j]);
}
modelo.AddConstr(exp <= w[n, p, j] * M, "R23_" + n + "_" + p + "_" + j);
}
}
}
//restrição 24
for (int n = 0; n < instancia.crew; n++)
{
for (int q = 0; q < instancia.technical_place; q++)
{
for (int j = 0; j < instancia.date; j++)
{
exp.Clear();
for (int p = 0; p < instancia.technical_place; p++)
{
exp.AddTerm(1, v[n, p, q, j]);
}
modelo.AddConstr(exp <= w[n, q, j] * M, "R24_" + n + "_" + q + "_" + j);
}
}
}
//restrição 25
//se o membro de equipe trabalha em mais do que um local técninco durante o turno
for (int n = 0; n < instancia.crew; n++)
{
for (int q = 0; q < instancia.technical_place; q++)
{
for (int j = 0; j < instancia.date; j++)
{
exp.Clear();
for (int p = 0; p < instancia.technical_place; p++)
{
exp.AddTerm(1, v[n, p, q, j]);
}
modelo.AddConstr(w1[n, q, j] == exp, "R25_" + n + "_" + q + "_" + j);
}
}
}
//restrição 26
for (int n = 0; n < instancia.crew; n++)
{
for (int p = 0; p < instancia.technical_place; p++)
{
for (int j = 0; j < instancia.date; j++)
{
exp.Clear();
for (int q = 0; q < instancia.technical_place; q++)
{
exp.AddTerm(1, v[n, p, q, j]);
}
modelo.AddConstr(w2[n, p, j] == exp, "R26_" + n + "_" + p + "_" + j);
}
}
}
//restrição 27
//cada membro de equipe pode apenas ser transportado de e para cada local técnico uma vez por dia
for (int n = 0; n < instancia.crew; n++)
{
for (int p = 0; p < instancia.technical_place; p++)
{
for (int j = 0; j < instancia.date; j++)
{
modelo.AddConstr(w1[n, p, j] <= 1, "R27_" + n + "_" + p + "_" + j);
}
}
}
//restrição 28
for (int n = 0; n < instancia.crew; n++)
{
for (int p = 0; p < instancia.technical_place; p++)
{
for (int j = 0; j < instancia.date; j++)
{
modelo.AddConstr(w2[n, p, j] <= 1, "R28_" + n + "_" + p + "_" + j);
}
}
}
//restrição 29
//funcionário será transportado apenas uma vez do e para o depósito
for (int n = 0; n < instancia.crew; n++)
{
for (int j = 0; j < instancia.date; j++)
{
exp.Clear();
for (int p = 0; p < instancia.technical_place; p++)
{
exp.AddTerm(2, w[n, p, j]);
exp.AddTerm(-1, w1[n, p, j]);
exp.AddTerm(-1, w2[n, p, j]);
}
modelo.AddConstr(exp == 2 * y[n, j], "R29_" + n + "_" + j);
}
}
//variáveis a serem fixadas
if (iteracao != 0)
{
for (int n = 0; n < instancia.crew; n++)
{
//fixar variável y
for (int j = 0; j < iteracao - 1; j++)
{
y[n, j].Set(GRB.DoubleAttr.LB, matriz_RaF_y[n, j]);
y[n, j].Set(GRB.DoubleAttr.UB, matriz_RaF_y[n, j]);
//fixar variável z
for (int i = 0; i < instancia.task; i++)
{
z[n, i, j].Set(GRB.DoubleAttr.LB, matriz_RaF_z[n, i, j]);
z[n, i, j].Set(GRB.DoubleAttr.UB, matriz_RaF_z[n, i, j]);
}
}
}
}
//varivais binárias
//variável z
for (int n = 0; n < instancia.crew; n++)
{
for (int i = 0; i < instancia.task; i++)
{
z[n, i, iteracao].Set(GRB.CharAttr.VType, GRB.BINARY);
}
}
//variável y
for (int n = 0; n < instancia.crew; n++)
{
y[n, iteracao].Set(GRB.CharAttr.VType, GRB.BINARY);
}
//variável x4
for (int i = 0; i < instancia.task; i++)
{
x4[i].Set(GRB.CharAttr.VType, GRB.BINARY);
}
//variável x5
for (int n = 0; n < instancia.crew; n++)
{
for (int i = 0; i < instancia.task; i++)
{
for (int j = 0; j < iteracao; j++)
{
x5[n, i, j].Set(GRB.CharAttr.VType, GRB.BINARY);
}
}
}
//variável x6
for (int i = 0; i < instancia.task; i++)
{
for (int j = 0; j < iteracao; j++)
{
x6[i, j].Set(GRB.CharAttr.VType, GRB.BINARY);
}
}
//variável z1
for (int n = 0; n < instancia.crew; n++)
{
for (int i = 0; i < instancia.task; i++)
{
z1[n, i].Set(GRB.CharAttr.VType, GRB.BINARY);
}
}
//variável w
for (int n = 0; n < instancia.crew; n++)
{
for (int p = 0; p < instancia.technical_place; p++)
{
for (int j = 0; j < iteracao; j++)
{
w[n, p, j].Set(GRB.CharAttr.VType, GRB.BINARY);
}
}
}
//variável v
for (int n = 0; n < instancia.crew; n++)
{
for (int p = 0; p < instancia.technical_place; p++)
{
for (int q = 0; q < instancia.technical_place; q++)
{
for (int j = 0; j < iteracao; j++)
{
v[n, p, q, j].Set(GRB.CharAttr.VType, GRB.BINARY);
}
}
}
}
//variável w1
for (int n = 0; n < instancia.crew; n++)
{
for (int p = 0; p < instancia.technical_place; p++)
{
for (int j = 0; j < iteracao; j++)
{
w1[n, p, j].Set(GRB.CharAttr.VType, GRB.BINARY);
}
}
}
//variável w2
for (int n = 0; n < instancia.crew; n++)
{
for (int p = 0; p < instancia.technical_place; p++)
{
for (int j = 0; j < iteracao; j++)
{
w2[n, p, j].Set(GRB.CharAttr.VType, GRB.BINARY);
}
}
}
//otimizar modelo
modelo.Set(GRB.DoubleParam.TimeLimit, tempo_iteracao);
modelo.Update();
modelo.Optimize();
tempo_total -= modelo.Get(GRB.DoubleAttr.Runtime);
//atualizar
int solverStatus = modelo.Get(GRB.IntAttr.Status);
if (modelo.SolCount == 0 || solverStatus == 3)
{
status_RF = 999999;
return;
}
else
{
//salvar a salocao
for (int n = 0; n < instancia.crew; n++)
{
for (int i = 0; i < instancia.task; i++)
{
//variável z
matriz_RaF_z[n, i, iteracao] = z[n, i, iteracao].X;
}
//variável y
matriz_RaF_y[n, iteracao] = y[n, iteracao].X;
}
// se estiver na última iteracao salvar nas matizes o valor das variáveis
if (iteracao == instancia.date)
{
//variável x
for (int n = 0; n < instancia.crew; n++)
{
for (int i = 0; i < instancia.task; i++)
{
for (int j = 0; j < instancia.date; j++)
{
matriz_RaF_x[n, i, j] = x[n, i, j].X;
}
}
}
//variável x3
for (int i = 0; i < instancia.task; i++)
{
for (int j = 0; j < instancia.date; j++)
{
matriz_RaF_x3[i, j] = x3[i, j].X;
}
}
//vairável x2
for (int i = 0; i < instancia.task; i++)
{
for (int j = 0; j < instancia.date; j++)
{
matriz_RaF_x2[i, j] = x2[i, j].X;
}
}
//variável x4
for (int i = 0; i < instancia.task; i++)
{
matriz_RaF_x4[i] = x4[i].X;
}
//variável x5
for (int n = 0; n < instancia.crew; n++)
{
for (int i = 0; i < instancia.task; i++)
{
for (int j = 0; j < instancia.date; j++)
{
matriz_RaF_x5[n, i, j] = x5[n, i, j].X;
}
}
}
//variável x6
for (int i = 0; i < instancia.task; i++)
{
for (int j = 0; j < instancia.date; j++)
{
matriz_RaF_x6[i, j] = x6[i, j].X;
}
}
//variável z1
for (int n = 0; n < instancia.crew; n++)
{
for (int i = 0; i < instancia.task; i++)
{
matriz_RaF_z1[n, i] = z1[n, i].X;
}
}
//variável w
for (int n = 0; n < instancia.crew; n++)
{
for (int p = 0; p < instancia.technical_place; p++)
{
for (int j = 0; j < instancia.date; j++)
{
matriz_RaF_w[n, p, j] = w[n, p, j].X;
}
}
}
//variável v
for (int n = 0; n < instancia.crew; n++)
{
for (int p = 0; p < instancia.technical_place; p++)
{
for (int q = 0; q < instancia.technical_place; q++)
{
for (int j = 0; j < instancia.date; j++)
{
matriz_RaF_v[n, p, q, j] = v[n, p, q, j].X;
}
}
}
}
//variável w1
for (int n = 0; n < instancia.crew; n++)
{
for (int p = 0; p < instancia.technical_place; p++)
{
for (int j = 0; j < instancia.date; j++)
{
matriz_RaF_w1[n, p, j] = w1[n, p, j].X;
}
}
}
//variável w2
for (int n = 0; n < instancia.crew; n++)
{
for (int p = 0; p < instancia.technical_place; p++)
{
for (int j = 0; j < instancia.date; j++)
{
matriz_RaF_w2[n, p, j] = w2[n, p, j].X;
}
}
}
}
}
if (iteracao == instancia.date)
{
double funcaoObjetivo;
funcaoObjetivo = modelo.Get(GRB.DoubleAttr.ObjVal);
Console.WriteLine("Solução atual:" + funcaoObjetivo.ToString());
lista_RF.Add(funcaoObjetivo);
soma_RF += funcaoObjetivo;
}
}
//Relaz and Fix
//Stopwatch para contar o tempo
Stopwatch relogio = new Stopwatch();
tempo_total = 3600;
relogio.Start();
for (int j = 0; j < instancia.date; j++)
{
status_RF = 0;
tempo_iteracao = tempo_total / (instancia.date - j + 1);
modelo_RelaxAndFixData(j);
if (status_RF != 0)
{
lista_RF.Add(99999999);
soma_RF += 99999999;
}
}
relogio.Stop();
Console.WriteLine("tempo total de:" + (relogio.ElapsedMilliseconds / 1000).ToString() + "segundos");
Console.ReadKey();
}
public GurobiSolver(Crossword crossword)
{
var wordLengthHistogram = new Dictionary <int, int>()
{
{ 3, 18 },
{ 4, 24 },
{ 5, 20 },
{ 6, 18 },
{ 7, 12 },
{ 8, 4 },
{ 9, 4 },
};
const int maxWordLength = 9;
int sizeY = crossword.Grid.GetLength(0);
int sizeX = crossword.Grid.GetLength(1);
int amountQuestions = (int)Math.Round(0.22 * sizeX * sizeY);
GRBEnv env = new GRBEnv();
GRBModel m = new GRBModel(env);
// 0 = letter, 1 = question
GRBVar[,] fields = new GRBVar[sizeY, sizeX];
// 0 = right, 1 = down
GRBVar[,] questionType = new GRBVar[sizeY, sizeX];
for (int y = 0; y < sizeY; y++)
{
for (int x = 0; x < sizeX; x++)
{
// create a var for every non-blocked field
if (!(crossword.Grid[y, x] is Blocked))
{
fields[y, x] = m.AddVar(0, 1, 0, GRB.BINARY, "Field" + x + "_" + y);
questionType[y, x] = m.AddVar(0, 1, 0, GRB.BINARY, "QType" + x + "_" + y);
}
}
}
GRBLinExpr allFieldsSum = new GRBLinExpr();
// count word lengths (to compare with histogram)
var lengths = new Dictionary <int, GRBLinExpr>();
foreach (var l in wordLengthHistogram.Keys)
{
lengths.Add(l, new GRBLinExpr());
}
var partOfAWord = new GRBLinExpr[sizeY, sizeX];
for (int y = 0; y < sizeY; y++)
{
for (int x = 0; x < sizeX; x++)
{
partOfAWord[y, x] = new GRBLinExpr();
}
}
for (int y = 0; y < sizeY; y++)
{
for (int x = 0; x < sizeX; x++)
{
allFieldsSum += fields[y, x];
foreach (var l in wordLengthHistogram.Keys)
{
if (x + l < sizeX)
{
// + 1 if the following fields are all words and the last one is not a word (question or outside grid)
var wordCount = new GRBLinExpr();
for (int i = 1; i <= l; i++)
{
wordCount += fields[y, x + i];
}
// last field is question or outside?
var lastFieldIsNoWord = m.AddVar(0, 1, 0, GRB.BINARY, "lastFieldIsNoWord" + y + "_" + x + "_" + l);
if (x + l + 1 < sizeX)
{
m.AddConstr(lastFieldIsNoWord == fields[y, x + l + 1], "lastFieldIsInGridAndIsQuestion" + y + "_" + x + "_" + l);
}
else
{
m.AddConstr(lastFieldIsNoWord == 1, "lastFieldOutsideGrid" + y + "_" + x + "_" + l);
}
// https://cs.stackexchange.com/questions/51025/cast-to-boolean-for-integer-linear-programming
var hasCorrectWordCount = m.AddVar(0, 1, 0, GRB.BINARY, "hasCorrect" + y + "_" + x + "_" + l);
var hcTemp = m.AddVar(0, 1, 0, GRB.BINARY, "hasCorrectTemp" + y + "_" + x + "_" + l);
var worddiff = wordCount - l;
m.AddConstr(-sizeX * hasCorrectWordCount <= worddiff, "ToBoolean" + y + "_" + x + "_" + l + "_1");
m.AddConstr(worddiff <= sizeX * hasCorrectWordCount, "ToBoolean" + y + "_" + x + "_" + l + "_2");
m.AddConstr(0.001 * hasCorrectWordCount - (sizeX + 0.001) * hcTemp <= worddiff, "ToBoolean" + y + "_" + x + "_" + l + "_3");
m.AddConstr(worddiff <= -0.001 * hasCorrectWordCount + (sizeX + 0.001) * (1 - hcTemp), "ToBoolean" + y + "_" + x + "_" + l + "_4");
// firstFieldIsQuestion AND questionIsHorizontal AND hasCorrectWordCount AND lastFieldIsNoWord
var allConditionsMet = m.AddVar(0, 1, 0, GRB.BINARY, "allCondsMet" + y + "_" + x + "_" + l);
var condVal = fields[y, x] + (1 - questionType[y, x]) + hasCorrectWordCount + lastFieldIsNoWord - 3;
m.AddConstr(allConditionsMet >= condVal, "AllConditionsAND" + y + "_" + x + "_" + l + "_1");
m.AddConstr(allConditionsMet <= fields[y, x], "AllConditionsAND" + y + "_" + x + "_" + l + "_2");
m.AddConstr(allConditionsMet <= (1 - questionType[y, x]), "AllConditionsAND" + y + "_" + x + "_" + l + "_3");
m.AddConstr(allConditionsMet <= hasCorrectWordCount, "AllConditionsAND" + y + "_" + x + "_" + l + "_4");
m.AddConstr(allConditionsMet <= lastFieldIsNoWord, "AllConditionsAND" + y + "_" + x + "_" + l + "_5");
lengths[l] += allConditionsMet;
// If all conditions are met, all letters are part of a word
for (int i = 1; i <= l; i++)
{
partOfAWord[y, x + i] += allConditionsMet;
}
}
if (y + l < sizeY)
{
// + 1 if the following fields are all words and the last one is not a word (question or outside grid)
var wordCount = new GRBLinExpr();
for (int i = 1; i <= l; i++)
{
wordCount += fields[y + i, x];
}
// last field is question or outside?
var lastFieldIsNoWord = m.AddVar(0, 1, 0, GRB.BINARY, "lastFieldIsNoWord" + y + "_" + x + "_" + l);
if (y + l + 1 < sizeY)
{
m.AddConstr(lastFieldIsNoWord == fields[y + l + 1, x], "lastFieldIsInGridAndIsQuestion" + y + "_" + x + "_" + l);
}
else
{
m.AddConstr(lastFieldIsNoWord == 1, "lastFieldOutsideGrid" + y + "_" + x + "_" + l);
}
// https://cs.stackexchange.com/questions/51025/cast-to-boolean-for-integer-linear-programming
var hasCorrectWordCount = m.AddVar(0, 1, 0, GRB.BINARY, "hasCorrect" + y + "_" + x + "_" + l);
var hcTemp = m.AddVar(0, 1, 0, GRB.BINARY, "hasCorrectTemp" + y + "_" + x + "_" + l);
var worddiff = wordCount - l;
m.AddConstr(-sizeY * hasCorrectWordCount <= worddiff, "ToBoolean" + y + "_" + x + "_" + l + "_1");
m.AddConstr(worddiff <= sizeY * hasCorrectWordCount, "ToBoolean" + y + "_" + x + "_" + l + "_2");
m.AddConstr(0.001 * hasCorrectWordCount - (sizeY + 0.001) * hcTemp <= worddiff, "ToBoolean" + y + "_" + x + "_" + l + "_3");
m.AddConstr(worddiff <= -0.001 * hasCorrectWordCount + (sizeY + 0.001) * (1 - hcTemp), "ToBoolean" + y + "_" + x + "_" + l + "_4");
// firstFieldIsQuestion AND questionIsHorizontal AND hasCorrectWordCount AND lastFieldIsNoWord
var allConditionsMet = m.AddVar(0, 1, 0, GRB.BINARY, "allCondsMet" + y + "_" + x + "_" + l);
var condVal = fields[y, x] + (questionType[y, x]) + hasCorrectWordCount + lastFieldIsNoWord - 3;
m.AddConstr(allConditionsMet >= condVal, "AllConditionsAND" + y + "_" + x + "_" + l + "_1");
m.AddConstr(allConditionsMet <= fields[y, x], "AllConditionsAND" + y + "_" + x + "_" + l + "_2");
m.AddConstr(allConditionsMet <= (questionType[y, x]), "AllConditionsAND" + y + "_" + x + "_" + l + "_3");
m.AddConstr(allConditionsMet <= hasCorrectWordCount, "AllConditionsAND" + y + "_" + x + "_" + l + "_4");
m.AddConstr(allConditionsMet <= lastFieldIsNoWord, "AllConditionsAND" + y + "_" + x + "_" + l + "_5");
lengths[l] += allConditionsMet;
// If all conditions are met, all letters are part of a word
for (int i = 1; i <= l; i++)
{
partOfAWord[y + i, x] += allConditionsMet;
}
}
}
// max word count
if (x + maxWordLength < sizeX)
{
var maxWordCount = new GRBLinExpr();
var range = maxWordLength + 1;
if (x + range == sizeX)
{
range--;
}
for (int i = 0; i < maxWordLength + 1; i++)
{
maxWordCount += 1 - fields[y, x + i];
}
m.AddConstr(maxWordCount <= maxWordLength, "maxWordsX" + y + "_" + x);
}
if (y + maxWordLength < sizeY)
{
var maxWordCount = new GRBLinExpr();
var range = maxWordLength + 1;
if (y + range == sizeY)
{
range--;
}
for (int i = 0; i < maxWordLength + 1; i++)
{
maxWordCount += 1 - fields[y + i, x];
}
m.AddConstr(maxWordCount <= maxWordLength, "maxWordsY" + y + "_" + x);
}
}
}
// All non-question fields have to belong to a word
for (int y = 0; y < sizeY; y++)
{
for (int x = 0; x < sizeX; x++)
{
m.AddConstr(1 - fields[y, x] <= partOfAWord[y, x], "NonQuestionsToWords" + y + "_" + x + "_1");
m.AddConstr(1 - fields[y, x] >= partOfAWord[y, x] * 0.5, "NonQuestionsToWords" + y + "_" + x + "_2");
}
}
// after a question, no word of length 1 or 2 is allowed
for (int y = 0; y < sizeY; y++)
{
for (int x = 0; x < sizeX; x++)
{
if (x < sizeX - 3)
{
// if there's a question AND it's pointing right THEN sum(fields[y, x+1/2/3]) = 0
var minLetters = 3 - (fields[y, x + 1] + fields[y, x + 2] + fields[y, x + 3]);
m.AddConstr(fields[y, x] + (1 - questionType[y, x]) - 1 <= minLetters * (1d / 3d), "AfterRightQuestionMin2Letters" + y + "_" + x);
}
else
{
m.AddConstr(questionType[y, x] == 1, "NoRightQuestionAtRightBorder" + y + "_" + x);
}
if (y < sizeY - 3)
{
// if there's a question AND it's pointing down THEN sum(fields[y+1/2/3, x]) = 0
var minLetters = 3 - (fields[y + 1, x] + fields[y + 2, x] + fields[y + 3, x]);
m.AddConstr(fields[y, x] + questionType[y, x] - 1 <= minLetters * (1d / 3d), "AfterDownQuestionMin2Letters" + y + "_" + x);
}
else if (x < sizeX - 3)
{
m.AddConstr(questionType[y, x] == 0, "NoDownQuestionAtBottomBorder" + y + "_" + x);
}
else
{
m.AddConstr(fields[y, x] == 0, "OnlyWordsInBottomrightCorner" + y + "_" + x);
}
}
}
// Objective:
// questions should be around ~22% (allFieldsSum ~= amountQuestions)
var amountOfQuestionsRating = m.AddVar(0, sizeX * sizeY - amountQuestions, 0, GRB.INTEGER, "amountOfQuestionsRating");
var amountOfQuestionsAbsInput = m.AddVar(-amountQuestions, sizeX * sizeY - amountQuestions, 0, GRB.INTEGER, "amountOfQuestionsAbsInput");
m.AddConstr(amountOfQuestionsAbsInput == allFieldsSum - amountQuestions);
m.AddGenConstrAbs(amountOfQuestionsRating, amountOfQuestionsAbsInput, "amountOfQuestionsAbs");
/*int tolerance = (int)(amountQuestions * 0.1);
* m.AddConstr(allFieldsSum - amountQuestions >= -tolerance);
* m.AddConstr(allFieldsSum - amountQuestions <= tolerance);*/
// as many partOfAWord == 2 as possible
var manyCrossedWords = new GRBLinExpr();
for (int y = 0; y < sizeY; y++)
{
for (int x = 0; x < sizeX; x++)
{
manyCrossedWords += partOfAWord[y, x];
}
}
// ideal histogram comparison
var wordHistogramDifferences = new GRBQuadExpr();
foreach (var wl in wordLengthHistogram.Keys)
{
var diff = (wordLengthHistogram[wl] - lengths[wl]) * 2;
wordHistogramDifferences += diff * diff;
}
// question field clusters
var clusterPenalty = new GRBLinExpr();
for (int y = 0; y < sizeY - 2; y++)
{
for (int x = 0; x < sizeX - 2; x++)
{
var clusterTotal = new GRBLinExpr();
for (int i = 0; i < 3; i++)
{
for (int j = 0; j < 3; j++)
{
clusterTotal += fields[y + i, x + j];
}
}
var varClusterTotalPenalty = m.AddVar(0, 7, 0, GRB.INTEGER, "varClusterTotalPenalty" + y + "_" + x);
m.AddConstr(varClusterTotalPenalty >= clusterTotal - 2);
clusterPenalty += varClusterTotalPenalty;
}
}
//amountOfQuestionsRating * (100d / sizeX / sizeY) + manyCrossedWords + + wordHistogramDifferences
// clusterPenalty * 100
m.SetObjective(amountOfQuestionsRating * (100d / sizeX / sizeY) + clusterPenalty * 100 + wordHistogramDifferences + manyCrossedWords, GRB.MINIMIZE);
m.SetCallback(new GRBMipSolCallback(crossword, fields, questionType, null));
m.Optimize();
m.ComputeIIS();
m.Write("model.ilp");
m.Dispose();
env.Dispose();
}
static void Main()
{
try {
// Sample data
// Sets of days and workers
string[] Shifts =
new string[] { "Mon1", "Tue2", "Wed3", "Thu4", "Fri5", "Sat6",
"Sun7", "Mon8", "Tue9", "Wed10", "Thu11", "Fri12", "Sat13",
"Sun14" };
string[] Workers =
new string[] { "Amy", "Bob", "Cathy", "Dan", "Ed", "Fred", "Gu" };
int nShifts = Shifts.Length;
int nWorkers = Workers.Length;
// Number of workers required for each shift
double[] shiftRequirements =
new double[] { 3, 2, 4, 4, 5, 6, 5, 2, 2, 3, 4, 6, 7, 5 };
// Amount each worker is paid to work one shift
double[] pay = new double[] { 10, 12, 10, 8, 8, 9, 11 };
// Worker availability: 0 if the worker is unavailable for a shift
double[,] availability =
new double[,] { { 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1 },
{ 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 0 },
{ 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1 },
{ 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1 },
{ 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1 },
{ 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 } };
// Model
GRBEnv env = new GRBEnv();
GRBModel model = new GRBModel(env);
model.Set(GRB.StringAttr.ModelName, "assignment");
// Assignment variables: x[w][s] == 1 if worker w is assigned
// to shift s. Since an assignment model always produces integer
// solutions, we use continuous variables and solve as an LP.
GRBVar[,] x = new GRBVar[nWorkers,nShifts];
for (int w = 0; w < nWorkers; ++w) {
for (int s = 0; s < nShifts; ++s) {
x[w,s] =
model.AddVar(0, availability[w,s], pay[w], GRB.CONTINUOUS,
Workers[w] + "." + Shifts[s]);
}
}
// The objective is to minimize the total pay costs
model.Set(GRB.IntAttr.ModelSense, 1);
// Update model to integrate new variables
model.Update();
// Constraint: assign exactly shiftRequirements[s] workers
// to each shift s
LinkedList<GRBConstr> reqCts = new LinkedList<GRBConstr>();
for (int s = 0; s < nShifts; ++s) {
GRBLinExpr lhs = 0.0;
for (int w = 0; w < nWorkers; ++w)
lhs += x[w,s];
GRBConstr newCt =
model.AddConstr(lhs == shiftRequirements[s], Shifts[s]);
reqCts.AddFirst(newCt);
}
// Optimize
model.Optimize();
int status = model.Get(GRB.IntAttr.Status);
if (status == GRB.Status.UNBOUNDED) {
Console.WriteLine("The model cannot be solved "
+ "because it is unbounded");
return;
}
if (status == GRB.Status.OPTIMAL) {
Console.WriteLine("The optimal objective is " +
model.Get(GRB.DoubleAttr.ObjVal));
return;
}
if ((status != GRB.Status.INF_OR_UNBD) &&
(status != GRB.Status.INFEASIBLE)) {
Console.WriteLine("Optimization was stopped with status " + status);
return;
}
// Add slack variables to make the model feasible
Console.WriteLine("The model is infeasible; adding slack variables");
// Set original objective coefficients to zero
model.SetObjective(new GRBLinExpr());
// Add a new slack variable to each shift constraint so that the shifts
// can be satisfied
LinkedList<GRBVar> slacks = new LinkedList<GRBVar>();
foreach (GRBConstr c in reqCts) {
GRBColumn col = new GRBColumn();
col.AddTerm(1.0, c);
GRBVar newvar =
model.AddVar(0, GRB.INFINITY, 1.0, GRB.CONTINUOUS, col,
c.Get(GRB.StringAttr.ConstrName) + "Slack");
slacks.AddFirst(newvar);
}
// Solve the model with slacks
model.Optimize();
status = model.Get(GRB.IntAttr.Status);
if ((status == GRB.Status.INF_OR_UNBD) ||
(status == GRB.Status.INFEASIBLE) ||
(status == GRB.Status.UNBOUNDED)) {
Console.WriteLine("The model with slacks cannot be solved "
+ "because it is infeasible or unbounded");
return;
}
if (status != GRB.Status.OPTIMAL) {
Console.WriteLine("Optimization was stopped with status " + status);
return;
}
Console.WriteLine("\nSlack values:");
foreach (GRBVar sv in slacks) {
if (sv.Get(GRB.DoubleAttr.X) > 1e-6) {
Console.WriteLine(sv.Get(GRB.StringAttr.VarName) + " = " +
sv.Get(GRB.DoubleAttr.X));
}
}
// Dispose of model and env
model.Dispose();
env.Dispose();
} catch (GRBException e) {
Console.WriteLine("Error code: " + e.ErrorCode + ". " +
e.Message);
}
}
static void Main()
{
try {
GRBEnv env = new GRBEnv("qp.log");
GRBModel model = new GRBModel(env);
// Create variables
GRBVar x = model.AddVar(0.0, 1.0, 0.0, GRB.CONTINUOUS, "x");
GRBVar y = model.AddVar(0.0, 1.0, 0.0, GRB.CONTINUOUS, "y");
GRBVar z = model.AddVar(0.0, 1.0, 0.0, GRB.CONTINUOUS, "z");
// Integrate new variables
model.Update();
// Set objective
GRBQuadExpr obj = x*x + x*y + y*y + y*z + z*z;
model.SetObjective(obj);
// Add constraint: x + 2 y + 3 z >= 4
model.AddConstr(x + 2 * y + 3 * z >= 4.0, "c0");
// Add constraint: x + y >= 1
model.AddConstr(x + y >= 1.0, "c1");
// Optimize model
model.Optimize();
Console.WriteLine(x.Get(GRB.StringAttr.VarName)
+ " " + x.Get(GRB.DoubleAttr.X));
Console.WriteLine(y.Get(GRB.StringAttr.VarName)
+ " " + y.Get(GRB.DoubleAttr.X));
Console.WriteLine(z.Get(GRB.StringAttr.VarName)
+ " " + z.Get(GRB.DoubleAttr.X));
Console.WriteLine("Obj: " + model.Get(GRB.DoubleAttr.ObjVal) + " " +
obj.Value);
// Change variable types to integer
x.Set(GRB.CharAttr.VType, GRB.INTEGER);
y.Set(GRB.CharAttr.VType, GRB.INTEGER);
z.Set(GRB.CharAttr.VType, GRB.INTEGER);
// Optimize model
model.Optimize();
Console.WriteLine(x.Get(GRB.StringAttr.VarName)
+ " " + x.Get(GRB.DoubleAttr.X));
Console.WriteLine(y.Get(GRB.StringAttr.VarName)
+ " " + y.Get(GRB.DoubleAttr.X));
Console.WriteLine(z.Get(GRB.StringAttr.VarName)
+ " " + z.Get(GRB.DoubleAttr.X));
Console.WriteLine("Obj: " + model.Get(GRB.DoubleAttr.ObjVal) + " " +
obj.Value);
// Dispose of model and env
model.Dispose();
env.Dispose();
} catch (GRBException e) {
Console.WriteLine("Error code: " + e.ErrorCode + ". " + e.Message);
}
}
public override Schedule Generate(Scenario scenario, FilledBaseline baseline = null)
{
var opportunities = scenario.Projects.Where(p => p is Opportunity).ToArray();
var batches = scenario.Projects.SelectMany(p => p.Batches).ToArray();
var batchesBothLines = batches.Where(b => b.Compatibility == Batch.LineCompatibility.Both).ToArray();
var batchesLine1 = batches.Where(b => b.Compatibility == Batch.LineCompatibility.Line1).ToArray();
var batchesLine2 = batches.Where(b => b.Compatibility == Batch.LineCompatibility.Line2).ToArray();
int bBc = batchesBothLines.Count();
var earliestDate = scenario.Projects.Min(p => p.DeliveryDate);
var lastDate = scenario.Projects.Max(p => p.DeliveryDate.AddDays(7 * p.Batches.Count())).AddDays(7 * 3); // add an additional buffer of 3 weeks.
double maxDays = (lastDate - earliestDate).Days;
var maxWeek = maxDays / 7 + 2;
const int weeksBuffer = 3;
const double numericScale = 100d;
const double delayPenaltyMultiplier = 0.01; // 1% of revenue per week
const double interestPenaltyMultiplier = (0.045 / 52.14); // 4.5% / 52.14 * (revenue – margin)
var env = new GRBEnv();
env.Set(GRB.IntParam.UpdateMode, 1);
env.Set(GRB.IntParam.LogToConsole, 1);
//env.Set(GRB.IntParam.ScaleFlag, 2);
//env.Set(GRB.IntParam.Presolve, 0);
//env.Set(GRB.DoubleParam.TimeLimit, _config.TimeLimit.Value);
//env.Set(GRB.DoubleParam.MIPGap, 0.02);
var m = new GRBModel(env);
// decide: which batch is when, on which line
// [batch, time]
var varBatchTimeLine1 = m.AddVars(bBc + batchesLine1.Count(), bBc + batchesLine1.Count(), 0, 1, GRB.BINARY, "varBatchTimeLine1");
var varBatchTimeLine2 = m.AddVars(bBc + batchesLine2.Count(), bBc + batchesLine2.Count(), 0, 1, GRB.BINARY, "varBatchTimeLine2");
// what are the time differences between times
var varBatchTimeDiffsLine1 = m.AddVars(bBc + batchesLine1.Count() - 1, 0, maxDays, GRB.CONTINUOUS, "varBatchTimeDiffsLine1");
var varBatchTimeDiffsLine2 = m.AddVars(bBc + batchesLine2.Count() - 1, 0, maxDays, GRB.CONTINUOUS, "varBatchTimeDiffsLine2");
var varLineDecision = m.AddVars(bBc, 0, 1, GRB.BINARY, "varLineDecision"); // 0 = Line1, 1 = Line2
// make stupid solution:
// assign fixed projects, set the rest as unused
m.Update();
for (int l = 0; l < 2; l++)
{
var line = l == 0 ? varBatchTimeLine1 : varBatchTimeLine2;
var diffs = l == 0 ? varBatchTimeDiffsLine1 : varBatchTimeDiffsLine2;
for (int i = 0; i < diffs.GetLength(0); i++)
{
diffs[i].Set(GRB.DoubleAttr.Start, 0);
}
//m.AddConstr(diffs[i] == 0, "initial solution diffs");
int lineT = 0;
for (int bi = bBc; bi < line.GetLength(0); bi++)
{
var batch = (l == 0 ? batchesLine1 : batchesLine2)[bi - bBc];
bool isFixedProject = scenario.Projects.First(p => p.Batches.Contains(batch)) is FixedProject;
if (isFixedProject)
{
line[bi, lineT].Set(GRB.DoubleAttr.Start, 1);
//m.AddConstr(line[bi, lineT] == 1, "assign batches of project in succession");
for (int j = 0; j < line.GetLength(1); j++)
{
if (j != lineT)
{
line[bi, j].Set(GRB.DoubleAttr.Start, 0);
}
}
//m.AddConstr(line[bi, j] == 0, "initial solution");
lineT++;
}
else
{
for (int j = 0; j < line.GetLength(1); j++)
{
line[bi, j].Set(GRB.DoubleAttr.Start, 0);
}
//m.AddConstr(line[bi, j] == 0, "initial solution");
}
}
// make zeros also for both line batches
for (int i = 0; i < bBc; i++)
{
for (int j = 0; j < line.GetLength(1); j++)
{
line[i, j].Set(GRB.DoubleAttr.Start, 0);
}
}
//m.AddConstr(line[i, j] == 0, "initial solution");
}
// line constraints:
// assign batch only once (constraint for single lines then both lines)
// if it's a fixed project though, then it must be allocated
for (int l = 0; l < 2; l++)
{
var line = l == 0 ? varBatchTimeLine1 : varBatchTimeLine2;
for (int bi = bBc; bi < line.GetLength(0); bi++)
{
var batchTotal = new GRBLinExpr();
for (int t = 0; t < line.GetLength(1); t++)
{
batchTotal += line[bi, t];
}
var batch = (l == 0 ? batchesLine1 : batchesLine2)[bi - bBc];
bool isFixedProject = scenario.Projects.First(p => p.Batches.Contains(batch)) is FixedProject;
if (!isFixedProject)
{
m.AddConstr(batchTotal <= 1, "assign batch only once");
}
else
{
m.AddConstr(batchTotal == 1, "assign batch exactly once");
}
}
}
for (int bi = 0; bi < bBc; bi++)
{
var batchTotal = new GRBLinExpr();
for (int t = 0; t < varBatchTimeLine1.GetLength(1); t++)
{
batchTotal += varBatchTimeLine1[bi, t];
}
for (int t = 0; t < varBatchTimeLine2.GetLength(1); t++)
{
batchTotal += varBatchTimeLine2[bi, t];
}
var batch = batchesBothLines[bi];
bool isFixedProject = scenario.Projects.First(p => p.Batches.Contains(batch)) is FixedProject;
if (!isFixedProject)
{
m.AddConstr(batchTotal <= 1, "assign batch only once");
}
else
{
m.AddConstr(batchTotal == 1, "assign batch exactly once");
}
}
// a time slot can only be used once on each line
for (int l = 0; l < 2; l++)
{
var line = l == 0 ? varBatchTimeLine1 : varBatchTimeLine2;
for (int t = 0; t < line.GetLength(1); t++)
{
var timeTotal = new GRBLinExpr();
for (int bi = 0; bi < line.GetLength(0); bi++)
{
timeTotal += line[bi, t];
}
m.AddConstr(timeTotal <= 1, "assign time slot only once on line " + (l + 1).ToString());
}
}
// for all batches which aren't assigned to a line yet, limit the allocation of yet unassigned batches of a project to one line
// TODO: If project has e.g. line1 and both lines, limit both lines to line 1?
for (int pi = 0; pi < scenario.Projects.Count(); pi++)
{
var p = scenario.Projects[pi];
if (!p.Batches.Any(b => b.Compatibility == Batch.LineCompatibility.Both))
{
continue;
}
int lineRestriction = -1;
if (p.Batches.Any(b => b.Compatibility != Batch.LineCompatibility.Both))
{
lineRestriction = p.Batches.First(b => b.Compatibility != Batch.LineCompatibility.Both).Compatibility == Batch.LineCompatibility.Line1 ? 0 : 1;
}
int i_prev = -1;
for (int j = 0; j < p.Batches.Count(); j++)
{
if (p.Batches[j].Compatibility != Batch.LineCompatibility.Both)
{
continue;
}
var i = batchesBothLines.IndexOf(p.Batches[j]);
if (lineRestriction == -1)
{
if (i_prev != -1)
{
m.AddConstr(varLineDecision[i] == varLineDecision[i_prev], "lineDecisionRestrictionAllSame");
}
}
else
{
// if there are other batches on this project which are already on a specific line, limit to the same line
m.AddConstr(varLineDecision[i] == lineRestriction, "lineDecisionRestrictionSpecific");
}
i_prev = i;
}
}
// for each project, either all or no batches must be assigned
var totalBatchesOfProject = new Dictionary <Project, List <GRBLinExpr> >();
foreach (var p in scenario.Projects)
{
var allBatches = new List <GRBLinExpr>();
// gather the total of all batches
GRBLinExpr previousBatchTotal = null;
for (int bi = 0; bi < p.Batches.Count(); bi++)
{
var b = p.Batches[bi];
var batchTotal = new GRBLinExpr();
if (b.Compatibility == Batch.LineCompatibility.Line1)
{
var bIndex = bBc + batchesLine1.IndexOf(b);
for (int ti = 0; ti < varBatchTimeLine1.GetLength(1); ti++)
{
batchTotal += varBatchTimeLine1[bIndex, ti];
}
}
else if (b.Compatibility == Batch.LineCompatibility.Line2)
{
var bIndex = bBc + batchesLine2.IndexOf(b);
for (int ti = 0; ti < varBatchTimeLine2.GetLength(1); ti++)
{
batchTotal += varBatchTimeLine2[bIndex, ti];
}
}
else
{
var bIndex = batchesBothLines.IndexOf(b);
for (int t = 0; t < varBatchTimeLine1.GetLength(1); t++)
{
batchTotal += varBatchTimeLine1[bIndex, t];
}
for (int t = 0; t < varBatchTimeLine2.GetLength(1); t++)
{
batchTotal += varBatchTimeLine2[bIndex, t];
}
}
// the sum of this batch over all times (0 or 1) has to be the same as the sum of the previous one
if (bi > 0)
{
//m.AddConstr(previousBatchTotal == batchTotal, "allBatchesAllocatedOrNot");
}
previousBatchTotal = batchTotal;
allBatches.Add(batchTotal);
}
totalBatchesOfProject.Add(p, allBatches);
}
// Tbd: Only half of the batch slots of line 1 may be occupied. Sometimes existst as internal projects.
// fill gap between 50% and internal projects, monthly resolution
// gather the time of time slots
GRBLinExpr[] startTimesLine1 = new GRBLinExpr[varBatchTimeLine1.GetLength(1)];
GRBLinExpr[] startTimesLine2 = new GRBLinExpr[varBatchTimeLine2.GetLength(1)];
var varStartTimesLine1 = m.AddVars(startTimesLine1.Count(), 0, maxDays, GRB.CONTINUOUS, "varStartTimesLine1");
var varStartTimesLine2 = m.AddVars(startTimesLine2.Count(), 0, maxDays, GRB.CONTINUOUS, "varStartTimesLine2");
for (int l = 0; l < 2; l++)
{
var batchLine = l == 0 ? varBatchTimeLine1 : varBatchTimeLine2;
var startTimes = l == 0 ? startTimesLine1 : startTimesLine2;
var batchesLine = l == 0 ? batchesLine1 : batchesLine2;
var batchTimeDiffs = l == 0 ? varBatchTimeDiffsLine1 : varBatchTimeDiffsLine2;
for (int t = 0; t < batchLine.GetLength(1); t++)
{
startTimes[t] = new GRBLinExpr();
// sum up all durations and buffer times before this time instance
for (int previous_t = 0; previous_t < t; previous_t++)
{
var duration_prev_t = new GRBLinExpr();
for (int bi = 0; bi < batchLine.GetLength(0); bi++)
{
var batch = bi < bBc ? batchesBothLines[bi] : batchesLine[bi];
var duration = batch.UsedWorkHours / 24d;
duration_prev_t += batchLine[bi, previous_t] * duration;
}
duration_prev_t += batchTimeDiffs[previous_t];
startTimes[t] += duration_prev_t;
}
}
var varStartTime = l == 0 ? varStartTimesLine1 : varStartTimesLine2;
for (int i = 0; i < varStartTime.Count(); i++)
{
m.AddConstr(varStartTime[i] == startTimes[i], "varStartTimeAssignment");
}
}
// gather the start time of the batches
var varStartTimesBatches1 = m.AddVars(varBatchTimeLine1.GetLength(0), 0, maxDays, GRB.CONTINUOUS, "varBatchStartTimesLine1");
var varStartTimesBatches2 = m.AddVars(varBatchTimeLine2.GetLength(0), 0, maxDays, GRB.CONTINUOUS, "varBatchStartTimesLine2");
for (int l = 0; l < 2; l++)
{
var batchLine = l == 0 ? varBatchTimeLine1 : varBatchTimeLine2;
var batchStartTimes = l == 0 ? varStartTimesBatches1 : varStartTimesBatches2;
var batchesLine = l == 0 ? batchesLine1 : batchesLine2;
var varStartTimes = l == 0 ? varStartTimesLine1 : varStartTimesLine2;
for (int bi = 0; bi < batchLine.GetLength(0); bi++)
{
// make the batch take the value of its time slot
for (int ti = 0; ti < batchLine.GetLength(1); ti++)
{
m.AddConstr(batchStartTimes[bi] <= varStartTimes[ti] + maxDays * (1 - batchLine[bi, ti]), "batchTimeAssignment");
m.AddConstr(batchStartTimes[bi] >= varStartTimes[ti] - maxDays * (1 - batchLine[bi, ti]), "batchTimeAssignment");
}
}
}
// scheduling formulation
for (int l = 0; l < 2; l++)
{
var varBatchStartTimes = l == 0 ? varStartTimesBatches1 : varStartTimesBatches2;
var line = batchesBothLines.ToList();
line.AddRange(l == 0 ? batchesLine1 : batchesLine2);
for (int bi1 = 0; bi1 < line.Count() - 1; bi1++)
{
var batch1 = line[bi1];
var o1_exists = opportunities.FirstOrDefault(o => o.Batches.Contains(batch1));
var oi1 = o1_exists != null ? (1 - totalBatchesOfProject[o1_exists][0]) : new GRBLinExpr();
var s1 = varBatchStartTimes[bi1];
var bothLineSlack1 = (bi1 < bBc) ? (l == 0 ? varLineDecision[bi1] - 0 : 1 - varLineDecision[bi1]) : new GRBLinExpr();
for (int bi2 = bi1 + 1; bi2 < line.Count(); bi2++)
{
var batch2 = line[bi2];
var o2_exists = opportunities.FirstOrDefault(o => o.Batches.Contains(batch2));
var oi2 = o2_exists != null ? (1 - totalBatchesOfProject[o1_exists][0]) : new GRBLinExpr();
var s2 = varBatchStartTimes[bi2];
var bothLineSlack2 = (bi2 < bBc) ? (l == 0 ? varLineDecision[bi2] - l : l - varLineDecision[bi2]) : new GRBLinExpr();
// S1 - E2 >= 0 OR S2 - E1 >= 0
// IF both batches are used
var decisionVar = m.AddVar(0, 1, GRB.BINARY, "schedulingORvar");
var opportunityNotUsedSlack = oi1 + oi2;
var varBothLinesLineDecisionSlack = bothLineSlack1 + bothLineSlack2; // LineDecisionSlack for both lines batches, i.e. if a bothline batch is used, don't restrict unused line.
m.AddConstr(s1 - (s2 + batch2.UsedWorkHours / 24d) >= -maxDays * (decisionVar + opportunityNotUsedSlack + varBothLinesLineDecisionSlack), "batchesScheduling");
m.AddConstr(s2 - (s1 + batch1.UsedWorkHours / 24d) >= -maxDays * (1 - decisionVar + opportunityNotUsedSlack + varBothLinesLineDecisionSlack), "batchesScheduling");
}
}
}
// Maximize the margin (including delay and interest penalties) and the workload
// Only the delivery of the first batch is really important. The rest is less important.
var margin = new GRBLinExpr();
var delays = new List <GRBLinExpr>();
var interests = new List <GRBLinExpr>();
var weekValues = new List <GRBLinExpr>();
var weekDiffs = new List <GRBLinExpr>();
foreach (var p in scenario.Projects)
{
// if the project is used add the margin
if (p is Opportunity)
{
margin += totalBatchesOfProject[p][0] * p.Margin * (1d / numericScale);
}
else
{
margin += p.Margin / numericScale;
}
// deduct the delay penalty for each batch.
var startDayOfProject = (p.DeliveryDate - earliestDate).TotalDays;
var varMaxedValue = m.AddVars(p.Batches.Count(), 0, maxWeek, GRB.CONTINUOUS, "penaltyIndicator" + p.Description);
//var varDecisionVar = m.AddVars(p.Batches.Count(), 0, 1, GRB.BINARY, "penaltyIndicator" + p.Description);
//m.Update();
GRBLinExpr previousWeekValue = new GRBLinExpr();
for (int pbi = 0; pbi < p.Batches.Count(); pbi++)
{
var b = p.Batches[pbi];
// compare the minimal batch time (3 + 1 weeks) to the actual delivery time
GRBLinExpr weekValue;
if (batchesLine1.Contains(b))
{
var bi = batchesLine1.IndexOf(b) + bBc;
weekValue = varStartTimesBatches1[bi] / 7d;
}
else if (batchesLine2.Contains(b))
{
var bi = batchesLine2.IndexOf(b) + bBc;
weekValue = varStartTimesBatches2[bi] / 7d;
}
else
{
var bi = batchesBothLines.IndexOf(b);
// create a new var
var bothLineWeekVar = m.AddVar(0, maxWeek, GRB.CONTINUOUS, "weekValueBothLines");
//m.Update();
m.AddConstr(bothLineWeekVar >= varStartTimesBatches1[bi] / 7d - (varLineDecision[bi]) * maxWeek, "weekValueBothLinesDefinitionByConstraints");
m.AddConstr(bothLineWeekVar <= varStartTimesBatches1[bi] / 7d + (varLineDecision[bi]) * maxWeek, "weekValueBothLinesDefinitionByConstraints");
m.AddConstr(bothLineWeekVar >= varStartTimesBatches2[bi] / 7d - (1 - varLineDecision[bi]) * maxWeek, "weekValueBothLinesDefinitionByConstraints");
m.AddConstr(bothLineWeekVar <= varStartTimesBatches2[bi] / 7d + (1 - varLineDecision[bi]) * maxWeek, "weekValueBothLinesDefinitionByConstraints");
weekValue = bothLineWeekVar;
}
if (true || pbi < p.Batches.Count() - 1)
{
// for positive difference add delay penalty, for negative difference add interest penalty
// x = opportunity used ? x : 0
// var = max(0, x)
// margin += var * delay
// margin += (x - var) * interest
var plannedWeek = startDayOfProject / 7d + pbi * (weeksBuffer + 1);
GRBLinExpr weekDiff;
if (p is Opportunity)
{
var weekDiffIfUsed = m.AddVar(-maxWeek, maxWeek, GRB.CONTINUOUS, "weekDiffIfUsed");
//m.Update();
var wD = weekValue - plannedWeek;
m.AddConstr(weekDiffIfUsed >= wD - (1 - totalBatchesOfProject[p][0]) * maxWeek, "weekDiffConstraintDefinition1");
m.AddConstr(weekDiffIfUsed <= wD + (1 - totalBatchesOfProject[p][0]) * maxWeek, "weekDiffConstraintDefinition2");
m.AddConstr(weekDiffIfUsed <= (totalBatchesOfProject[p][0]) * maxWeek, "weekDiffConstraintDefinition3");
m.AddConstr(weekDiffIfUsed >= -(totalBatchesOfProject[p][0]) * maxWeek, "weekDiffConstraintDefinition4");
weekDiff = weekDiffIfUsed;
}
else
{
weekDiff = weekValue - plannedWeek;
}
m.AddConstr(varMaxedValue[pbi] >= weekDiff, "maxedWeekDiffValueConstraintDefinition");
//m.AddConstr(varMaxedValue[pbi] >= 0, "maxedWeekDiffValueConstraintDefinition");
//m.AddConstr(varMaxedValue[pbi] <= weekDiff + maxWeek * (varDecisionVar[pbi]), "maxedWeekDiffValueConstraintDefinition");
//m.AddConstr(varMaxedValue[pbi] <= 0 + maxWeek * (1 - varDecisionVar[pbi]), "maxedWeekDiffValueConstraintDefinition");
double firstBatchImportance = pbi == 0 ? 1 : 0.2; // mainly the first batch is important, the rest is meh
weekValues.Add(weekValue);
weekDiffs.Add(weekDiff);
double revenueBase = p.Revenue == 0 ? 1E+8 : p.Revenue; // if it's an internal project it must not be shifted, therefore we make the penalty high
revenueBase /= numericScale;
delays.Add(varMaxedValue[pbi] * delayPenaltyMultiplier * revenueBase * firstBatchImportance);
interests.Add(-(weekDiff - varMaxedValue[pbi]) * interestPenaltyMultiplier * revenueBase * firstBatchImportance);
margin -= delays.Last() + interests.Last();
}
// constraint: batches of a project have to be in succession, i.e. batch2 can't come after batch3 chronologically
if (pbi > 0)
{
m.AddConstr(weekValue - previousWeekValue >= 0, "batchesOfProjectHaveToBeInSuccession");
}
previousWeekValue = weekValue;
}
}
//m.SetObjective(margin, GRB.MAXIMIZE);
m.Update();
m.Write("ilproman3.mps");
m.Write("ilproman3.mst");
//m.Tune();
//m.GetTuneResult(0);
m.Optimize();
//env.Set(GRB.IntParam.IISMethod, 0); // makes IIS computation fast but potentially inaccurate
m.ComputeIIS();
m.Write("ilp.ilp");
// TODO: Max 5 weeks delay per project
// build the solution from the optimization
var sol = new Schedule();
int batchCount = 0;
double cumulatedDelays = 0;
double cumulatedInterests = 0;
foreach (var p in scenario.Projects)
{
List <Schedule.BatchAllocation> allocatedBatches = new List <Schedule.BatchAllocation>();
var data = new List <double[]>();
for (int bi = 0; bi < p.Batches.Count(); bi++)
{
var b = p.Batches[bi];
var delay = delays[batchCount].Value;
var interest = interests[batchCount].Value;
cumulatedDelays += delay;
cumulatedInterests += interest;
var weekValue = weekValues[batchCount].Value;
var weekDiff = weekDiffs[batchCount].Value;
// figure out on which week and which line the batch is allocated
double dayLine1 = 0;
double dayLine2 = 0;
if (b.Compatibility == Batch.LineCompatibility.Line1)
{
dayLine1 = varStartTimesBatches1[bBc + batchesLine1.IndexOf(b)].Get(GRB.DoubleAttr.X);
}
else if (b.Compatibility == Batch.LineCompatibility.Line2)
{
dayLine2 = varStartTimesBatches2[bBc + batchesLine2.IndexOf(b)].Get(GRB.DoubleAttr.X);
}
else
{
var bbi = batchesBothLines.IndexOf(b);
var lineDecision = varLineDecision[bbi].Get(GRB.DoubleAttr.X);
dayLine1 = varStartTimesBatches1[bbi].Get(GRB.DoubleAttr.X) * (1 - lineDecision);
dayLine2 = varStartTimesBatches2[bbi].Get(GRB.DoubleAttr.X) * lineDecision;
}
data.Add(new double[] { delay, interest, weekValue, weekDiff, dayLine1 + dayLine2 });
if (dayLine1 > 0 && dayLine2 > 0)
{
throw new InvalidOperationException();
}
var alloc = Schedule.LineAllocation.None;
if (p is FixedProject || (p is Opportunity && totalBatchesOfProject[p][0].Value > 0.5))
{
if (b.Compatibility == Batch.LineCompatibility.Both)
{
alloc = varLineDecision[batchesBothLines.IndexOf(b)].Get(GRB.DoubleAttr.X) > 0.5 ? Schedule.LineAllocation.Line2 : Schedule.LineAllocation.Line1;
}
else
{
alloc = b.Compatibility == Batch.LineCompatibility.Line1 ? Schedule.LineAllocation.Line1 : Schedule.LineAllocation.Line2;
}
}
//if (dayLine1 > 0) alloc = Solution.LineAllocation.Line1;
//if (dayLine2 > 0) alloc = Solution.LineAllocation.Line2;
allocatedBatches.Add(new Schedule.BatchAllocation(b, alloc, earliestDate.AddDays(dayLine1 + dayLine2)));
batchCount++;
}
sol.Add(new Schedule.ProjectAllocation(p, allocatedBatches));
}
/*var maxMustWinDate = mustWinOpportunitites.Max(p => p.DeliveryDate.AddDays(7 * p.Batches.Count())).AddDays(7 * 3);
* var minMustWinDate = mustWinOpportunitites.Min(p2 => p2.DeliveryDate);
* var sevenmonthsrange = sol.Where(p => p.Project.DeliveryDate >= minMustWinDate && p.Project.DeliveryDate <= maxMustWinDate).ToArray();
* var ops = sevenmonthsrange.Where(p => mustWinOpportunitites.Contains(p.Project) || p.Project is FixedProject);
* var s = ops.Sum(p => p.Project.Revenue);*/
return(sol);
}
public Instance Match(Instance instance, string path, bool print)
{
try
{
LP = "";
if (!System.IO.Directory.Exists(path) && print)
System.IO.Directory.CreateDirectory(path);
GRBEnv env = new GRBEnv("mip1.log");
GRBModel model = new GRBModel(env);
List<LPEdge> LPEdges = new List<LPEdge>();
if (print)
{
instance.Draw().Save(path + "/0Start.bmp");
}
int EdgeCounter = 0;
foreach (Instance.Applicant a in instance.Applicants)
{
EdgeCounter += a.Priorities.Count;
foreach (Instance.Priority Prio in a.Priorities)
{
{
LPEdges.Add(new LPEdge(a, instance.Posts[Prio.Target], Prio.Rank));
if (Prio.Rank == 0)
instance.Posts[Prio.Target].IsF = 1;
}
}
}
// Create variables
GRBVar[] Edges = new GRBVar[EdgeCounter];
for (int i = 0; i < Edges.Length; i++)
{
Edges[i] = model.AddVar(0.0, 1.0, 0.0, GRB.BINARY, "ve" + i.ToString());
}
// Integrate new variables
model.Update();
if (print)
LP += "Applicant Matching Conditions:" + Environment.NewLine;
foreach (Instance.Applicant a in instance.Applicants)
{
GRBLinExpr Temp = new GRBLinExpr();
for (int i = 0; i < LPEdges.Count; i++)
{
if (LPEdges[i].Applicant == a)
{
Temp += Edges[i];
if (print)
LP += "(a" + LPEdges[i].Applicant.ID + ", p" + LPEdges[i].Post.ID + ") + ";
}
}
model.AddConstr(Temp == 1.0, "a" + a.ID.ToString());
if (print)
LP += " = 1;" + Environment.NewLine;
}
if (print)
LP += Environment.NewLine + "Post Matching Conditions:" + Environment.NewLine;
foreach (Instance.Post p in instance.Posts)
{
GRBLinExpr Temp = new GRBLinExpr();
for (int i = 0; i < LPEdges.Count; i++)
{
if (LPEdges[i].Post == p)
{
Temp += Edges[i];
if (print)
LP += "(a" + LPEdges[i].Applicant.ID + ", p" + LPEdges[i].Post.ID + ") + ";
}
}
model.AddConstr(Temp <= 1.0, "p" + p.ID.ToString());
if (print)
LP += " <= 1;" + Environment.NewLine;
}
if (print)
LP += Environment.NewLine + "First Choice Conditions:" + Environment.NewLine;
for (int i = 0; i < LPEdges.Count; i++)
{
LPEdge le1 = LPEdges[i];
if (le1.Post.IsF == 1 && le1.Rank != 0)
{
model.AddConstr(Edges[i] <= 0, "s" + i.ToString());
if (print)
LP += "(a" + LPEdges[i].Applicant.ID + ", p" + LPEdges[i].Post.ID + ") <= 0;" + Environment.NewLine;
for (int j = 0; j < LPEdges[i].Applicant.Priorities.Count; j++)
{
if (LPEdges[i].Applicant.Priorities[j].Target == LPEdges[i].Post.ID && LPEdges[i].Rank == LPEdges[i].Applicant.Priorities[j].Rank)
{
LPEdges[i].Applicant.Priorities.RemoveAt(j);
}
}
}
}
if (print)
LP += Environment.NewLine + "Second Choice Conditions:" + Environment.NewLine;
for (int i = 0; i < LPEdges.Count; i++)
{
LPEdge le1 = LPEdges[i];
foreach (LPEdge le2 in LPEdges)
{
if (le2 != le1 && le2.Post.IsF == 0 && le1.Applicant == le2.Applicant && le2.Rank != 0 && le2.Rank < le1.Rank)
{
model.AddConstr(Edges[i] <= 0, "s" + i.ToString());
if (print)
LP += "(a" + LPEdges[i].Applicant.ID + ", p" + LPEdges[i].Post.ID + ") <= 0;" + Environment.NewLine;
for (int j = 0; j < LPEdges[i].Applicant.Priorities.Count; j++)
{
if (LPEdges[i].Applicant.Priorities[j].Target == LPEdges[i].Post.ID && LPEdges[i].Rank == LPEdges[i].Applicant.Priorities[j].Rank)
{
LPEdges[i].Applicant.Priorities.RemoveAt(j);
}
}
break;
}
}
}
if (print)
LP += Environment.NewLine + "First Post Conditions:" + Environment.NewLine;
foreach (Instance.Post p in instance.Posts)
{
if (p.IsF == 1)
{
GRBLinExpr Temp = new GRBLinExpr();
for (int i = 0; i < LPEdges.Count; i++)
{
if (LPEdges[i].Post == p)
{
Temp += Edges[i];
if (print)
LP += "(a" + LPEdges[i].Applicant.ID + ", p" + LPEdges[i].Post.ID + ") + ";
}
}
model.AddConstr(Temp >= 1.0, "f" + p.ID.ToString());
if (print)
LP += ">= 1;" + Environment.NewLine;
}
}
// Optimize model
model.Optimize();
if (print)
{
instance.Draw().Save(path + "/1Reduced.bmp");
}
for (int i = 0; i < Edges.Length; i++)
{
if (Edges[i].Get(GRB.DoubleAttr.X) == 1)
{
instance.AddMatch(LPEdges[i].Post.ID, LPEdges[i].Applicant.ID);
}
}
if (print)
{
instance.Draw().Save(path + "/2Matched.bmp");
}
// Dispose of model and env
model.Dispose();
env.Dispose();
return instance;
}
catch (GRBException e)
{
Console.WriteLine("Error code: " + e.ErrorCode + ". " + e.Message);
return null;
}
}
static void Main(string[] args)
{
double[] Demand = new double[] { 15, 18, 14, 20 };
double[] Capacity = new double[] { 20, 22, 17, 19, 18 };
double[,] ShipCosts =
new double[, ] {
{ 4000, 2500, 1200, 2200 },
{ 2000, 2600, 1800, 2600 },
{ 3000, 3400, 2600, 3100 },
{ 2500, 3000, 4100, 3700 },
{ 4500, 4000, 3000, 3200 }
};
int nWarehouses = Capacity.Length;
int nCustomers = Demand.Length;
GRBEnv env = new GRBEnv();
GRBModel m = new GRBModel(env);
GRBVar[,] Ship = new GRBVar[nWarehouses, nCustomers];
for (int i = 0; i < nWarehouses; ++i)
{
for (int j = 0; j < nCustomers; ++j)
{
Ship[i, j] = m.AddVar(0, GRB.INFINITY, 0, GRB.CONTINUOUS, "ship." + i + "." + j);
}
}
GRBVar[] Shortage = new GRBVar[nCustomers];
for (int j = 0; j < nCustomers; ++j)
{
Shortage[j] = m.AddVar(0, GRB.INFINITY, 0, GRB.CONTINUOUS, "shortage." + j);
}
GRBVar TotalShortage = m.AddVar(0, GRB.INFINITY, 0, GRB.CONTINUOUS, "TotalShortage");
GRBVar TotalShippingCost = m.AddVar(0, GRB.INFINITY, 1, GRB.CONTINUOUS, "TotalShippingCost");
m.Update();
GRBConstr[] DemandCon = new GRBConstr[nCustomers];
for (int j = 0; j < nCustomers; ++j)
{
GRBLinExpr lhs = 0.0;
for (int i = 0; i < nWarehouses; ++i)
{
lhs += Ship[i, j];
}
DemandCon[j] = m.AddConstr(lhs == Demand[j] - Shortage[j], "demand." + j);
}
GRBConstr[] CapacityCon = new GRBConstr[nWarehouses];
for (int i = 0; i < nWarehouses; ++i)
{
GRBLinExpr lhs = 0.0;
for (int j = 0; j < nCustomers; ++j)
{
lhs += Ship[i, j];
}
CapacityCon[i] = m.AddConstr(lhs <= Capacity[i], "capacity." + i);
}
GRBLinExpr expr = 0.0;
for (int j = 0; j < nCustomers; ++j)
{
expr += Shortage[j];
}
GRBConstr TotalShortageCon = m.AddConstr(expr == TotalShortage, "total_shortage");
expr = 0.0;
for (int i = 0; i < nWarehouses; ++i)
{
for (int j = 0; j < nCustomers; ++j)
{
expr += ShipCosts[i, j] * Ship[i, j];
}
}
GRBConstr TotalShippingCon = m.AddConstr(expr == TotalShippingCost, "total_shipping");
while (true)
{
m.Optimize();
double OptShortage = TotalShortage.Get(GRB.DoubleAttr.X);
double OptShipping = TotalShippingCost.Get(GRB.DoubleAttr.X);
Console.WriteLine("TotalShortage = {0}", OptShortage);
Console.WriteLine("TotalShippingCost= {0}", OptShipping);
if (OptShortage < EPS)
{
break;
}
double ObjectiveBound = TotalShortage.Get(GRB.DoubleAttr.SAObjUp);
TotalShortage.Set(GRB.DoubleAttr.Obj, ((1 + EPS) * ObjectiveBound));
}
}
public List <int[]> SolveVRP(int timeLimitMilliseconds)
{
using (var env = new GRBEnv($"{DateTime.Now:yy-MM-dd-HH-mm-ss}_vrp_gurobi.log"))
using (var vrpModel = new GRBModel(env))
{
#region initialize Variables
var numberOfRoutes = input.Santas.Length * input.Days.Length;
var v = new GRBVar[numberOfRoutes][]; // [santa] visits [visit]
var w = new GRBVar[numberOfRoutes][]; // [santa] uses [way]
for (int s = 0; s < numberOfRoutes; s++)
{
v[s] = new GRBVar[visitDurations.Length];
for (int i = 0; i < v[s].Length; i++)
{
v[s][i] = vrpModel.AddVar(0, 1, 0.0, GRB.BINARY, $"v[{s}][{i}]");
}
w[s] = vrpModel.AddVars(distances.GetLength(0) * distances.GetLength(1), GRB.BINARY);
}
#endregion initialize Variables
#region add constraints
SelfieConstraint(vrpModel, numberOfRoutes, w);
VisitVisitedOnce(vrpModel, numberOfRoutes, v);
IncomingOutgoingWaysConstraints(vrpModel, numberOfRoutes, w, v);
IncomingOutgoingSanta(vrpModel, numberOfRoutes, v, w);
IncomingOutgoingSantaHome(vrpModel, numberOfRoutes, w, v);
NumberOfWaysMatchForSanta(vrpModel, numberOfRoutes, v, w);
BreakHandling(vrpModel, numberOfRoutes, v);
#endregion add constraints
var totalWayTime = new GRBLinExpr(0);
var longestRoute = vrpModel.AddVar(0, input.Days.Max(d => d.to - d.from), 0, GRB.CONTINUOUS,
"longestRoute");
for (int s = 0; s < numberOfRoutes; s++)
{
var routeTime = new GRBLinExpr(0);
for (int i = 0; i < visitDurations.Length; i++)
{
routeTime += v[s][i] * visitDurations[i];
for (int j = 0; j < visitDurations.Length; j++)
{
routeTime += AccessW(w[s], i, j) * distances[i, j];
}
}
totalWayTime += routeTime;
vrpModel.AddConstr(longestRoute >= routeTime, $"longesRouteConstr{s}");
}
vrpModel.SetObjective(
+(40d / 3600d) * totalWayTime
+ (30d / 3600d) * longestRoute
, GRB.MINIMIZE);
vrpModel.Parameters.LazyConstraints = 1;
vrpModel.SetCallback(new VRPCallbackSolverCallback(w, AccessW, ConvertBack));
vrpModel.Parameters.TimeLimit = timeLimitMilliseconds / 1000;
InitializeModel(w, v, numberOfRoutes, input.Visits, input.Santas.Length);
vrpModel.Optimize();
if (vrpModel.SolCount == 0)
{
return(null);
}
var routes = new List <int[]>();
for (int s = 0; s < numberOfRoutes; s++)
{
var route = new List <int>();
var currVisit = 0;
do
{
route.Add(currVisit);
for (int i = 0; i < visitDurations.Length; i++)
{
if (AccessW(w[s], currVisit, i).X > 0.5)
{
currVisit = i;
break;
}
}
} while (currVisit != 0);
routes.Add(route.ToArray());
}
vrpModel.Reset();
return(routes);
}
}
public static Graph RunSolver(Graph graph)
{
GRBEnv env = new GRBEnv();
env.Set(GRB.IntParam.OutputFlag, 0);
env.Set(GRB.IntParam.LogToConsole, 0);
env.Set(GRB.IntParam.Presolve, 2);
env.Set(GRB.DoubleParam.Heuristics, 0.0);
GRBModel model = new GRBModel(env);
GRBVar[] variables = new GRBVar[graph.NumberOfEdges];
model.SetCallback(new LPSolverCallback());
Dictionary<Edge, GRBVar> edgeVars = new Dictionary<Edge, GRBVar>();
// Add variables to the LP model
for (int i = 0; i < graph.NumberOfEdges; i++)
{
variables[i] = model.AddVar(0.0, 1.0, 0.0, GRB.BINARY, "x_" + i);
edgeVars.Add(graph.Edges[i], variables[i]);
}
model.Update();
// Add constraints to the LP model
Console.Write("\rRunning LP. Creating constraints...\r");
//var nonTerminals = graph.Vertices.Except(graph.Terminals).ToList();
ulong conNr = 0;
//var terminalCombinations = new List<List<Vertex>>();
// Assume, without loss of generality, that Terminals[0] is the root, and thus is always included
int rootNr = 1;
foreach (var rootTerminal in graph.Terminals)
//var rootTerminal = graph.Terminals[0];
{
Console.Write("\rRunning LP. Creating constraints... {0}/{1}\r", rootNr, graph.Terminals.Count);
foreach (var combination in GetBFS(graph, rootTerminal))
{
var nodes = combination.ToList(); //new HashSet<Vertex>(combination);
if (nodes.Count == graph.NumberOfVertices || graph.Terminals.All(nodes.Contains))
continue;
//Debug.WriteLine("Combination: {0}", string.Join(" ", nodes));
//for (int i = 1; i <= nodes.Count; i++)
{
var edges = nodes//.Take(i)
.SelectMany(graph.GetEdgesForVertex)
.Distinct()
.Where(x => x.WhereOne(y => !nodes.Contains(y)));
GRBLinExpr expression = 0;
foreach (var edge in edges)
expression.AddTerm(1, edgeVars[edge]);
model.AddConstr(expression >= 1.0, "subset_" + conNr);
conNr++;
if (conNr % 100000 == 0)
{
//model = model.Presolve(); //Pre-solve the model every 1000 constraints.
int constrBefore = model.GetConstrs().Length, varsBefore = model.GetVars().Length;
Debug.WriteLine("Presolve called.");
var presolved = model.Presolve();
Debug.WriteLine("Model has {0} constraints, {1} variables. Presolve has {2} constraints, {3} variables",
constrBefore, varsBefore, presolved.GetConstrs().Length, presolved.GetVars().Length);
}
}
}
//Debug.WriteLine(" ");
//Debug.WriteLine(" ");
rootNr++;
}
//terminalCombinations.Add(new List<Vertex>(new[] { graph.Terminals[0] }));
//for (int j = 1; j < graph.Terminals.Count - 1; j++)
// terminalCombinations.AddRange(new Combinations<Vertex>(graph.Terminals.Skip(1), j).Select(combination => combination.Union(new[] { graph.Terminals[0] }).ToList()));
//long nonTerminalSetsDone = 0;
//long nonTerminalSets = 0;
//for (int i = 0; i <= nonTerminals.Count; i++)
// nonTerminalSets += Combinations<Vertex>.NumberOfCombinations(nonTerminals.Count, i);
//for (int i = 0; i <= nonTerminals.Count; i++)
//{
// foreach (var nonTerminalSet in new Combinations<Vertex>(nonTerminals, i))
// {
// foreach (var nodes in (from a in terminalCombinations
// select new HashSet<Vertex>(a.Union(nonTerminalSet))))
// {
// var edges = nodes.SelectMany(graph.GetEdgesForVertex)
// .Distinct()
// .Where(x => x.WhereOne(y => !nodes.Contains(y)));
// GRBLinExpr expression = 0;
// foreach (var edge in edges)
// expression.AddTerm(1, edgeVars[edge]);
// model.AddConstr(expression >= 1.0, "subset_" + conNr);
// conNr++;
// }
// nonTerminalSetsDone++;
// if (nonTerminalSetsDone % 100 == 0)
// Console.Write("\rRunning LP. Creating constraints... {0}/{1} ({2:0.000}%)\r", nonTerminalSetsDone, nonTerminalSets, nonTerminalSetsDone * 100.0 / nonTerminalSets);
// }
//}
// Solve the LP model
Console.Write("\rRunning LP. Creating objective & updating... \r");
GRBLinExpr objective = new GRBLinExpr();
for (int i = 0; i < graph.NumberOfEdges; i++)
objective.AddTerm(graph.Edges[i].Cost, variables[i]);
model.SetObjective(objective, GRB.MINIMIZE);
Console.Write("\rRunning LP. Tuning... \r");
model.Tune();
Debug.WriteLine("Presolve called.");
model.Presolve();
Console.Write("\rRunning LP. Solving... \r");
Debug.WriteLine("Optimize called.");
model.Optimize();
Graph solution = graph.Clone();
HashSet<Edge> includedEdges = new HashSet<Edge>();
for (int i = 0; i < solution.NumberOfEdges; i++)
{
var value = variables[i].Get(GRB.DoubleAttr.X);
if (value == 1)
includedEdges.Add(solution.Edges[i]);
}
foreach (var edge in solution.Edges.ToList())
if (!includedEdges.Contains(edge))
solution.RemoveEdge(edge);
Console.Write("\r \r");
return solution;
}
static void Main()
{
try {
// Sample data
// Sets of days and workers
string[] Shifts =
new string[] { "Mon1", "Tue2", "Wed3", "Thu4", "Fri5", "Sat6",
"Sun7", "Mon8", "Tue9", "Wed10", "Thu11", "Fri12", "Sat13",
"Sun14" };
string[] Workers =
new string[] { "Amy", "Bob", "Cathy", "Dan", "Ed", "Fred", "Gu" };
int nShifts = Shifts.Length;
int nWorkers = Workers.Length;
// Number of workers required for each shift
double[] shiftRequirements =
new double[] { 3, 2, 4, 4, 5, 6, 5, 2, 2, 3, 4, 6, 7, 5 };
// Amount each worker is paid to work one shift
double[] pay = new double[] { 10, 12, 10, 8, 8, 9, 11 };
// Worker availability: 0 if the worker is unavailable for a shift
double[,] availability =
new double[,] { { 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1 },
{ 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 0 },
{ 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1 },
{ 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1 },
{ 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1 },
{ 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 } };
// Model
GRBEnv env = new GRBEnv();
GRBModel model = new GRBModel(env);
model.Set(GRB.StringAttr.ModelName, "assignment");
// Assignment variables: x[w][s] == 1 if worker w is assigned
// to shift s. Since an assignment model always produces integer
// solutions, we use continuous variables and solve as an LP.
GRBVar[,] x = new GRBVar[nWorkers,nShifts];
for (int w = 0; w < nWorkers; ++w) {
for (int s = 0; s < nShifts; ++s) {
x[w,s] =
model.AddVar(0, availability[w,s], pay[w], GRB.CONTINUOUS,
Workers[w] + "." + Shifts[s]);
}
}
// The objective is to minimize the total pay costs
model.Set(GRB.IntAttr.ModelSense, 1);
// Update model to integrate new variables
model.Update();
// Constraint: assign exactly shiftRequirements[s] workers
// to each shift s
for (int s = 0; s < nShifts; ++s) {
GRBLinExpr lhs = 0.0;
for (int w = 0; w < nWorkers; ++w)
lhs += x[w, s];
model.AddConstr(lhs == shiftRequirements[s], Shifts[s]);
}
// Optimize
model.Optimize();
int status = model.Get(GRB.IntAttr.Status);
if (status == GRB.Status.UNBOUNDED) {
Console.WriteLine("The model cannot be solved "
+ "because it is unbounded");
return;
}
if (status == GRB.Status.OPTIMAL) {
Console.WriteLine("The optimal objective is " +
model.Get(GRB.DoubleAttr.ObjVal));
return;
}
if ((status != GRB.Status.INF_OR_UNBD) &&
(status != GRB.Status.INFEASIBLE)) {
Console.WriteLine("Optimization was stopped with status " + status);
return;
}
// Do IIS
Console.WriteLine("The model is infeasible; computing IIS");
LinkedList<string> removed = new LinkedList<string>();
// Loop until we reduce to a model that can be solved
while (true) {
model.ComputeIIS();
Console.WriteLine("\nThe following constraint cannot be satisfied:");
foreach (GRBConstr c in model.GetConstrs()) {
if (c.Get(GRB.IntAttr.IISConstr) == 1) {
Console.WriteLine(c.Get(GRB.StringAttr.ConstrName));
// Remove a single constraint from the model
removed.AddFirst(c.Get(GRB.StringAttr.ConstrName));
model.Remove(c);
break;
}
}
Console.WriteLine();
model.Optimize();
status = model.Get(GRB.IntAttr.Status);
if (status == GRB.Status.UNBOUNDED) {
Console.WriteLine("The model cannot be solved "
+ "because it is unbounded");
return;
}
if (status == GRB.Status.OPTIMAL) {
break;
}
if ((status != GRB.Status.INF_OR_UNBD) &&
(status != GRB.Status.INFEASIBLE)) {
Console.WriteLine("Optimization was stopped with status " +
status);
return;
}
}
Console.WriteLine("\nThe following constraints were removed "
+ "to get a feasible LP:");
foreach (string s in removed) {
Console.Write(s + " ");
}
Console.WriteLine();
// Dispose of model and env
model.Dispose();
env.Dispose();
} catch (GRBException e) {
Console.WriteLine("Error code: " + e.ErrorCode + ". " +
e.Message);
}
}
public void RangeSetup(GRBModel model, double lb, INumExpr expr, double ub, string name)
{
this.model = model;
this.LB = lb;
this.UB = ub;
this._name = name;
if (expr == null)
{
_expr = new INumExpr();
}
else
{
_expr = expr;
}
this.constr = null;
if (lb > -System.Double.MaxValue && ub < System.Double.MaxValue)
{
// "lb < expr < ub" --> " expr - newvar = lb, 0 < newvar < ub - lb"
GRBVar var = model.AddVar(0, ub - lb, 0, GRB.CONTINUOUS, null);
GRBLinExpr modExpr = Expr.expr - var;
this.constr = model.AddConstr(modExpr, GRB.EQUAL, lb, name);
}
else if (lb > -System.Double.MaxValue)
{
this.constr = model.AddConstr(Expr.expr, GRB.GREATER_EQUAL, lb, name);
}
else
{
this.constr = model.AddConstr(Expr.expr, GRB.LESS_EQUAL, ub, name);
}
}
static void Main()
{
try {
// Sample data
// Sets of days and workers
string[] Shifts =
new string[] { "Mon1", "Tue2", "Wed3", "Thu4", "Fri5", "Sat6",
"Sun7", "Mon8", "Tue9", "Wed10", "Thu11", "Fri12", "Sat13",
"Sun14" };
string[] Workers =
new string[] { "Amy", "Bob", "Cathy", "Dan", "Ed", "Fred", "Gu" };
int nShifts = Shifts.Length;
int nWorkers = Workers.Length;
// Number of workers required for each shift
double[] shiftRequirements =
new double[] { 3, 2, 4, 4, 5, 6, 5, 2, 2, 3, 4, 6, 7, 5 };
// Amount each worker is paid to work one shift
double[] pay = new double[] { 10, 12, 10, 8, 8, 9, 11 };
// Worker availability: 0 if the worker is unavailable for a shift
double[,] availability =
new double[, ] {
{ 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1 },
{ 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 0 },
{ 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1 },
{ 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1 },
{ 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1 },
{ 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 }
};
// Model
GRBEnv env = new GRBEnv();
GRBModel model = new GRBModel(env);
model.ModelName = "assignment";
// Assignment variables: x[w][s] == 1 if worker w is assigned
// to shift s. Since an assignment model always produces integer
// solutions, we use continuous variables and solve as an LP.
GRBVar[,] x = new GRBVar[nWorkers, nShifts];
for (int w = 0; w < nWorkers; ++w)
{
for (int s = 0; s < nShifts; ++s)
{
x[w, s] =
model.AddVar(0, availability[w, s], pay[w], GRB.CONTINUOUS,
Workers[w] + "." + Shifts[s]);
}
}
// The objective is to minimize the total pay costs
model.ModelSense = GRB.MINIMIZE;
// Constraint: assign exactly shiftRequirements[s] workers
// to each shift s
for (int s = 0; s < nShifts; ++s)
{
GRBLinExpr lhs = 0.0;
for (int w = 0; w < nWorkers; ++w)
{
lhs.AddTerm(1.0, x[w, s]);
}
model.AddConstr(lhs == shiftRequirements[s], Shifts[s]);
}
// Optimize
model.Optimize();
int status = model.Status;
if (status == GRB.Status.UNBOUNDED)
{
Console.WriteLine("The model cannot be solved "
+ "because it is unbounded");
return;
}
if (status == GRB.Status.OPTIMAL)
{
Console.WriteLine("The optimal objective is " + model.ObjVal);
return;
}
if ((status != GRB.Status.INF_OR_UNBD) &&
(status != GRB.Status.INFEASIBLE))
{
Console.WriteLine("Optimization was stopped with status " + status);
return;
}
// Relax the constraints to make the model feasible
Console.WriteLine("The model is infeasible; relaxing the constraints");
int orignumvars = model.NumVars;
model.FeasRelax(0, false, false, true);
model.Optimize();
status = model.Status;
if ((status == GRB.Status.INF_OR_UNBD) ||
(status == GRB.Status.INFEASIBLE) ||
(status == GRB.Status.UNBOUNDED))
{
Console.WriteLine("The relaxed model cannot be solved "
+ "because it is infeasible or unbounded");
return;
}
if (status != GRB.Status.OPTIMAL)
{
Console.WriteLine("Optimization was stopped with status " + status);
return;
}
Console.WriteLine("\nSlack values:");
GRBVar[] vars = model.GetVars();
for (int i = orignumvars; i < model.NumVars; ++i)
{
GRBVar sv = vars[i];
if (sv.X > 1e-6)
{
Console.WriteLine(sv.VarName + " = " + sv.X);
}
}
// Dispose of model and environment
model.Dispose();
env.Dispose();
} catch (GRBException e) {
Console.WriteLine("Error code: " + e.ErrorCode + ". " +
e.Message);
}
}
static void Main()
{
try {
// Sample data
// Sets of days and workers
string[] Shifts =
new string[] { "Mon1", "Tue2", "Wed3", "Thu4", "Fri5", "Sat6",
"Sun7", "Mon8", "Tue9", "Wed10", "Thu11", "Fri12", "Sat13",
"Sun14" };
string[] Workers =
new string[] { "Amy", "Bob", "Cathy", "Dan", "Ed", "Fred", "Gu" };
int nShifts = Shifts.Length;
int nWorkers = Workers.Length;
// Number of workers required for each shift
double[] shiftRequirements =
new double[] { 3, 2, 4, 4, 5, 6, 5, 2, 2, 3, 4, 6, 7, 5 };
// Amount each worker is paid to work one shift
double[] pay = new double[] { 10, 12, 10, 8, 8, 9, 11 };
// Worker availability: 0 if the worker is unavailable for a shift
double[,] availability =
new double[, ] {
{ 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1 },
{ 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 0 },
{ 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1 },
{ 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1 },
{ 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1 },
{ 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 }
};
// Model
GRBEnv env = new GRBEnv();
GRBModel model = new GRBModel(env);
model.Set(GRB.StringAttr.ModelName, "assignment");
// Assignment variables: x[w][s] == 1 if worker w is assigned
// to shift s. Since an assignment model always produces integer
// solutions, we use continuous variables and solve as an LP.
GRBVar[,] x = new GRBVar[nWorkers, nShifts];
for (int w = 0; w < nWorkers; ++w)
{
for (int s = 0; s < nShifts; ++s)
{
x[w, s] =
model.AddVar(0, availability[w, s], pay[w], GRB.CONTINUOUS,
Workers[w] + "." + Shifts[s]);
}
}
// The objective is to minimize the total pay costs
model.Set(GRB.IntAttr.ModelSense, 1);
// Update model to integrate new variables
model.Update();
// Constraint: assign exactly shiftRequirements[s] workers
// to each shift s
LinkedList <GRBConstr> reqCts = new LinkedList <GRBConstr>();
for (int s = 0; s < nShifts; ++s)
{
GRBLinExpr lhs = 0.0;
for (int w = 0; w < nWorkers; ++w)
{
lhs.AddTerm(1.0, x[w, s]);
}
GRBConstr newCt =
model.AddConstr(lhs == shiftRequirements[s], Shifts[s]);
reqCts.AddFirst(newCt);
}
// Optimize
model.Optimize();
int status = model.Get(GRB.IntAttr.Status);
if (status == GRB.Status.UNBOUNDED)
{
Console.WriteLine("The model cannot be solved "
+ "because it is unbounded");
return;
}
if (status == GRB.Status.OPTIMAL)
{
Console.WriteLine("The optimal objective is " +
model.Get(GRB.DoubleAttr.ObjVal));
return;
}
if ((status != GRB.Status.INF_OR_UNBD) &&
(status != GRB.Status.INFEASIBLE))
{
Console.WriteLine("Optimization was stopped with status " + status);
return;
}
// Add slack variables to make the model feasible
Console.WriteLine("The model is infeasible; adding slack variables");
// Set original objective coefficients to zero
model.SetObjective(new GRBLinExpr());
// Add a new slack variable to each shift constraint so that the shifts
// can be satisfied
LinkedList <GRBVar> slacks = new LinkedList <GRBVar>();
foreach (GRBConstr c in reqCts)
{
GRBColumn col = new GRBColumn();
col.AddTerm(1.0, c);
GRBVar newvar =
model.AddVar(0, GRB.INFINITY, 1.0, GRB.CONTINUOUS, col,
c.Get(GRB.StringAttr.ConstrName) + "Slack");
slacks.AddFirst(newvar);
}
// Solve the model with slacks
model.Optimize();
status = model.Get(GRB.IntAttr.Status);
if ((status == GRB.Status.INF_OR_UNBD) ||
(status == GRB.Status.INFEASIBLE) ||
(status == GRB.Status.UNBOUNDED))
{
Console.WriteLine("The model with slacks cannot be solved "
+ "because it is infeasible or unbounded");
return;
}
if (status != GRB.Status.OPTIMAL)
{
Console.WriteLine("Optimization was stopped with status " + status);
return;
}
Console.WriteLine("\nSlack values:");
foreach (GRBVar sv in slacks)
{
if (sv.Get(GRB.DoubleAttr.X) > 1e-6)
{
Console.WriteLine(sv.Get(GRB.StringAttr.VarName) + " = " +
sv.Get(GRB.DoubleAttr.X));
}
}
// Dispose of model and env
model.Dispose();
env.Dispose();
} catch (GRBException e) {
Console.WriteLine("Error code: " + e.ErrorCode + ". " +
e.Message);
}
}
public static double MIP_arc_based(int SAA_m, int SAA_type, int sample_size)
{
int trial_limit = sample_size;
System.Console.WriteLine("Constructing the MIP with Gurobi...");
double solution = -1;
try
{
GRBEnv env = new GRBEnv("mip1.log");
GRBModel model = new GRBModel(env);
//model.Parameters.Presolve = 1;
GRBVar[] y_j = new GRBVar[E];
GRBVar[,] x_ir = new GRBVar[N, sample_size];
System.Console.WriteLine("Creating y_i (edges)");
for (int i = 0; i < E; i++)
{
y_j[i] = model.AddVar(0.0, 1.0, 0, GRB.BINARY, "y_" + node_index[unique_arcs[i].Key.Head] + "_" + node_index[unique_arcs[i].Key.Tail]);
}
System.Console.WriteLine("Creating x_ir");
for (int i = 0; i < N; i++)
{
for (int r = 0; r < sample_size; r++)
{
x_ir[i, r] = model.AddVar(0.0, 1.0, 1.0, GRB.CONTINUOUS, "x_" + i + "_" + r);
}
}
model.ModelSense = GRB.MINIMIZE;
//----------------------------------------------------------
//--------------- create the constraints
int counter = 0;
GRBLinExpr temp_exp2;
temp_exp2 = 0.0;
System.Console.WriteLine("Starting the constraints... Total : " + (trial_limit * N + 1) + " constraints");
// exactly k initial active users
for (int i = 0; i < E; i++)
{
temp_exp2.AddTerm(1.0, y_j[i]);
}
model.AddConstr(temp_exp2 == K, "constraint_y");
temp_exp2 = 0.0;
//--- influence constraints x_i_r <= Sum_j (y_j) j in all accessing nodes to i (total of N.R constraints)
//string[] neigh_arr;
GRBLinExpr temp_exp;
int j = 0;
temp_exp = 0.0;
int counter2 = 0;
ReadData temp_arc = new ReadData();
for (int r = 0; r < trial_limit; r++)
{
for (int i = 0; i < N; i++)
{
//if (SAA_tree_list[r][i].Count > 0)
//if (x_exist[r, i] == true)
{
//x_ir[i, r] = model.AddVar(0.0, 1.0, 1.0, GRB.CONTINUOUS, "x_" + i + "_" + r);
temp_exp.AddTerm(1.0, x_ir[i, r]);
//if (SAA_tree_list[r][i].Count <= N)
{
foreach (UInt16 node in SAA_pred_list[r][i]) //my predecessors can activate me
{
var x = unique_arcs.FindIndex(a => a.Key.Head == node_set[(int)node] && a.Key.Tail == node_set[i]);
//int arcID=unique_arcs.IndexOf()
temp_exp2.AddTerm(-1, x_ir[(int)node, r]);
temp_exp2.AddTerm(1, y_j[x]);
model.AddConstr(temp_exp + temp_exp2 >= 0, "constraint_2" + (counter + 1));
temp_exp2 = 0.0;
counter++;
}
}
} //end of if for null neighbourhood
temp_exp = 0.0;
} //end of for loop for nodes
} //end of for loop for sample size R
for (int r = 0; r < trial_limit; r++)
{
for (int i = 0; i < I; i++)
{
temp_exp.AddTerm(1.0, x_ir[(int)initial_infected[i], r]);
model.AddConstr(temp_exp >= 1, "constraint_3" + (counter + 1));
temp_exp = 0.0;
}
}
//no need for this in edge blocking
//for (int i = 0; i < I; i++)
//{
// temp_exp.AddTerm(1.0, y_j[(int)initial_infected[i]]);
// model.AddConstr(temp_exp == 0, "constraint_3" + (counter + 1));
// temp_exp = 0.0;
//}
model.Write("model.lp");
//model.Write("modelGRB2" + SAA_m + ".mps");
//model.Write("modelGRB2" + SAA_m + ".lp");
GRBModel p = model.Presolve();
p.Write("presolve.lp");
model.Optimize();
if (model.Status == GRB.Status.OPTIMAL)
{
Console.WriteLine("Obj: " + model.Get(GRB.DoubleAttr.ObjVal));
solution = model.Get(GRB.DoubleAttr.ObjVal);
List <UInt16> SAA_sample_result = new List <UInt16>(K);
int isfractional = 0;
result_set = new List <ushort>();
for (int jj = 0; jj < y_j.Count(); ++jj)
{
if (y_j[jj].X > 0.001)
{
//result_set.Add(node_set[jj]);
result_set.Add(node_set[jj]);
SAA_sample_result.Add((UInt16)jj);
System.Console.WriteLine(y_j[jj].VarName + "=" + y_j[jj].X);
if (y_j[jj].X < 0.9)
{
System.Console.WriteLine("Fractional value found");
System.Console.ReadKey();
isfractional = 1;
}
}
}
if (isfractional == 1)
{
System.Console.WriteLine("To conitnue click...");
System.Console.ReadKey();
}
SAA_list.Add(SAA_sample_result);
}
else
{
Console.WriteLine("No solution");
solution = 0;
}
// Dispose of model and env
model.Dispose();
env.Dispose();
}
catch (GRBException e)
{
Console.WriteLine("Error code: " + e.ErrorCode + ". " + e.Message);
}
return(solution);
}
private static GRBVar CreateLargeVasesVariable(double glazeSupply, GRBModel model)
{
return(model.AddVar(0.0, glazeSupply, 0.0, GRB.INTEGER, "xL"));
}
public void CriarResolverModeloExato()
{
Ambiente = new GRBEnv();
Modelo = new GRBModel(Ambiente);
Modelo.ModelSense = GRB.MINIMIZE;
GRBVar[] Y = new GRBVar[NumeroItens];
GRBVar[,] X = new GRBVar[NumeroItens, NumeroItens];
//Função objetivo (1) e Conjuntos de Restrições (5) e (6)
for (int j = 0; j < NumeroItens; j++)
{
Y[j] = Modelo.AddVar(0, 1, 0, GRB.BINARY, "y_" + j.ToString());
}
for (int i = 0; i < NumeroItens; i++)
{
for (int j = 0; j < NumeroItens; j++)
{
X[i, j] = Modelo.AddVar(0, 1, Itens[i].Demanda * MatrizDistancias[i, j], GRB.BINARY, "x_" + i.ToString() + "_" + j.ToString());
}
}
//Restrição (2)
GRBLinExpr expr = new GRBLinExpr();
//expr=
//j=0: expr=1 Y[0]
//j=1: expr=1 Y[0] + 1 Y[1]
//...
//j=19: expr=1 Y[0] + 1 Y[1] + ... + 1 Y[18] + 1 Y[19]
for (int j = 0; j < NumeroItens; j++)
{
expr.AddTerm(1, Y[j]);
}
Modelo.AddConstr(expr == NumeroMedianas, "R2");
//Conjunto de Restrições (3)
expr.Clear();
//expr=
for (int i = 0; i < NumeroItens; i++)
{
expr.Clear();
for (int j = 0; j < NumeroItens; j++)
{
expr.AddTerm(1, X[i, j]);
}
Modelo.AddConstr(expr == 1, "R3" + "_" + i.ToString());
}
//Conjunto de Restrições (4)
for (int j = 0; j < NumeroItens; j++)
{
expr.Clear();
for (int i = 0; i < NumeroItens; i++)
{
expr.AddTerm(Itens[i].Demanda, X[i, j]);
}
Modelo.AddConstr(expr <= Itens[j].Capacidade * Y[j], "R4_" + j.ToString());
}
//conjunto de restrições (GGG)
//for (int i = 0; i < NumeroItens; i++)
//{
// for (int j = 0; j < NumeroItens; j++)
// {
// Modelo.AddConstr(MatrizDistancias[i, j] * X[i, j] <= 300, "RGGG_" + i.ToString() + "_" + j.ToString());
// }
//}
//Escrever Modelo .lp
Modelo.Write(@"C:\Teste\ModeloPmedianas.lp");
//Otimizar
Modelo.Optimize();
DistanciaTotal = Modelo.ObjVal;
//"Ler" resultado
int NumeroMedianasJaDefinidas = 0;
Dictionary <int, int> DicionarioMedianas = new Dictionary <int, int>();
for (int j = 0; j < NumeroItens; j++)
{
if (Y[j].X > 0.9)
{
Medianas[NumeroMedianasJaDefinidas].ItemMediana = j;
Medianas[NumeroMedianasJaDefinidas].ItensAlocados = new List <int>();
Medianas[NumeroMedianasJaDefinidas].DistanciaItensMediana = 0;
DicionarioMedianas.Add(j, NumeroMedianasJaDefinidas);
NumeroMedianasJaDefinidas++;
}
}
for (int i = 0; i < NumeroItens; i++)
{
for (int j = 0; j < NumeroItens; j++)
{
if (X[i, j].X > 0.9)
{
Itens[i].MedianaAlocada = DicionarioMedianas[j];
Medianas[DicionarioMedianas[j]].ItensAlocados.Add(i);
Medianas[DicionarioMedianas[j]].DistanciaItensMediana += MatrizDistancias[i, j];
}
}
}
}
public double Calculate(IList <Constraint> synthesizedConstraints, IList <Constraint> referenceConstraints)
{
// Assume benchmark restrictions indexes are bound to rows
var matrix = new double[referenceConstraints.Count, synthesizedConstraints.Count];
for (var i = 0; i < matrix.GetLength(0); i++)
{
for (var j = 0; j < matrix.GetLength(1); j++)
{
matrix[i, j] = AngleBetweenVectors(referenceConstraints[i].GetAllCoefficients(), synthesizedConstraints[j].GetAllCoefficients());
}
}
// Assignment problem
var env = new GRBEnv("angle.log");
var model = new GRBModel(env)
{
ModelSense = GRB.MINIMIZE,
ModelName = "Mean Angle Assignment Problem"
};
// Binary variable for each matrix cell
var grbVars = new GRBVar[matrix.GetLength(0), matrix.GetLength(1)];
for (var i = 0; i < matrix.GetLength(0); i++)
{
for (var j = 0; j < matrix.GetLength(1); j++)
{
grbVars[i, j] = model.AddVar(0.0, 1.0, 0.0, GRB.BINARY, $"b{i}.{j}");
}
}
var contraintCounter = 0;
var objectiveExpr = new GRBLinExpr();
// First add contraints for each row
for (var i = 0; i < matrix.GetLength(0); i++)
{
var rowExpr = new GRBLinExpr();
for (var j = 0; j < matrix.GetLength(1); j++)
{
rowExpr.AddTerm(1.0, grbVars[i, j]);
// Creating objective equation ONLY ONCE !
objectiveExpr.AddTerm(matrix[i, j], grbVars[i, j]);
}
model.AddConstr(rowExpr, GRB.GREATER_EQUAL, 1, $"c{contraintCounter++}");
}
// Transpose matrix so we can perform the same operation
matrix = matrix.Transpose();
// Add contstaints for originally columns
for (var i = 0; i < matrix.GetLength(0); i++)
{
var rowExpr = new GRBLinExpr();
for (var j = 0; j < matrix.GetLength(1); j++)
{
// Inverted indexes i and j
rowExpr.AddTerm(1.0, grbVars[j, i]);
}
model.AddConstr(rowExpr, GRB.GREATER_EQUAL, 1, $"c{contraintCounter++}");
}
model.SetObjective(objectiveExpr);
model.Optimize();
// Back to orignal shape
matrix = matrix.Transpose();
// Gets indicators for each bianry variable for solution
var binarySolutions = new double[matrix.GetLength(0), matrix.GetLength(1)];
for (var i = 0; i < matrix.GetLength(0); i++)
{
for (var j = 0; j < matrix.GetLength(1); j++)
{
binarySolutions[i, j] = grbVars[i, j].X;
}
}
// Multiplies binary indicators with coeficients
var sum = Matrix.ElementwiseMultiply(matrix, binarySolutions).Sum();
model.Write("angle_out.lp");
model.Dispose();
env.Dispose();
// Return mean angle
return(sum / (matrix.GetLength(0) > matrix.GetLength(1)
? matrix.GetLength(0)
: matrix.GetLength(1)));
}
static void Main()
{
try {
// Nutrition guidelines, based on
// USDA Dietary Guidelines for Americans, 2005
// http://www.health.gov/DietaryGuidelines/dga2005/
string[] Categories =
new string[] { "calories", "protein", "fat", "sodium" };
int nCategories = Categories.Length;
double[] minNutrition = new double[] { 1800, 91, 0, 0 };
double[] maxNutrition = new double[] { 2200, GRB.INFINITY, 65, 1779 };
// Set of foods
string[] Foods =
new string[] { "hamburger", "chicken", "hot dog", "fries",
"macaroni", "pizza", "salad", "milk", "ice cream" };
int nFoods = Foods.Length;
double[] cost =
new double[] { 2.49, 2.89, 1.50, 1.89, 2.09, 1.99, 2.49, 0.89,
1.59 };
// Nutrition values for the foods
double[,] nutritionValues = new double[,] {
{ 410, 24, 26, 730 }, // hamburger
{ 420, 32, 10, 1190 }, // chicken
{ 560, 20, 32, 1800 }, // hot dog
{ 380, 4, 19, 270 }, // fries
{ 320, 12, 10, 930 }, // macaroni
{ 320, 15, 12, 820 }, // pizza
{ 320, 31, 12, 1230 }, // salad
{ 100, 8, 2.5, 125 }, // milk
{ 330, 8, 10, 180 } // ice cream
};
// Model
GRBEnv env = new GRBEnv();
GRBModel model = new GRBModel(env);
model.Set(GRB.StringAttr.ModelName, "diet");
// Create decision variables for the nutrition information,
// which we limit via bounds
GRBVar[] nutrition = new GRBVar[nCategories];
for (int i = 0; i < nCategories; ++i) {
nutrition[i] =
model.AddVar(minNutrition[i], maxNutrition[i], 0, GRB.CONTINUOUS,
Categories[i]);
}
// Create decision variables for the foods to buy
GRBVar[] buy = new GRBVar[nFoods];
for (int j = 0; j < nFoods; ++j) {
buy[j] =
model.AddVar(0, GRB.INFINITY, cost[j], GRB.CONTINUOUS, Foods[j]);
}
// The objective is to minimize the costs
model.Set(GRB.IntAttr.ModelSense, 1);
// Update model to integrate new variables
model.Update();
// Nutrition constraints
for (int i = 0; i < nCategories; ++i) {
GRBLinExpr ntot = 0.0;
for (int j = 0; j < nFoods; ++j)
ntot += nutritionValues[j,i] * buy[j];
model.AddConstr(ntot == nutrition[i], Categories[i]);
}
// Solve
model.Optimize();
PrintSolution(model, buy, nutrition);
Console.WriteLine("\nAdding constraint: at most 6 servings of dairy");
model.AddConstr(buy[7] + buy[8] <= 6.0, "limit_dairy");
// Solve
model.Optimize();
PrintSolution(model, buy, nutrition);
// Dispose of model and env
model.Dispose();
env.Dispose();
} catch (GRBException e) {
Console.WriteLine("Error code: " + e.ErrorCode + ". " +
e.Message);
}
}
private GRBLinExpr AttachedToSpecialQuestion(int y, int x, int type, Crossword crossword, GRBModel m, int sizeX, int sizeY, int maxWordLength, GRBVar[,] fields, GRBLinExpr[,] specialQuestionUsed, GRBVar[,,] specialQuestionType)
{
// 0 = Down, then right
// 1 = Left, then down
// 2 = Right, then down
// 3 = Up, then right
if (type == 0 && y - 1 < 0)
{
return(null);
}
if (type == 1 && x + 1 >= sizeX)
{
return(null);
}
if (type == 2 && x - 1 < 0)
{
return(null);
}
if (type == 3 && y + 1 >= sizeY)
{
return(null);
}
// Is this field attached to a special question?
var attachedToSpecialQuestion = new GRBLinExpr();
for (int len = 0; len < maxWordLength; len++)
{
var qpos = new { y = y + (type == 0 ? -1 : 1), x = x - len };
if (type == 1 || type == 2)
{
qpos = new { y = y - len, x = x + (type == 1 ? 1 : -1) }
}
;
if ((type == 0 || type == 3) && (x - len < 0 || crossword.HasBlock(y, x - len, y, x) || crossword.HasBlock(qpos.y, qpos.x)))
{
continue;
}
if ((type == 1 || type == 2) && (y - len < 0 || crossword.HasBlock(y - len, x, y, x) || crossword.HasBlock(qpos.y, qpos.x)))
{
continue;
}
if ((object)specialQuestionUsed[qpos.y, qpos.x] == null)
{
continue;
}
var atsp = m.AddVar(0, 1, 0, GRB.BINARY, "attachedToSpecialQuestion" + type + "len" + len + "_" + y + "_" + x);
var questionsInbetween = (type == 0 || type == 3) ? fields.SumRange(y, x - len, y, x) : fields.SumRange(y - len, x, y, x);
m.AddConstr(atsp >= fields[qpos.y, qpos.x] + specialQuestionType[qpos.y, qpos.x, type] - 1 - questionsInbetween, "attachedToSpecialQuestion_len" + len + "_" + y + "_" + x);
if (type == 0 || type == 3)
{
for (int xi = x - len; xi <= x; xi++)
{
m.AddConstr(atsp <= 1 - fields[y, xi], "notAttachedToSpecialQuestion1_len" + len + "_" + y + "_" + x);
}
}
else
{
for (int yi = y - len; yi <= y; yi++)
{
m.AddConstr(atsp <= 1 - fields[yi, x], "notAttachedToSpecialQuestion1_len" + len + "_" + y + "_" + x);
}
}
m.AddConstr(atsp <= fields[qpos.y, qpos.x], "notAttachedToSpecialQuestion2_len" + len + "_" + y + "_" + x);
m.AddConstr(atsp <= specialQuestionType[qpos.y, qpos.x, type], "notAttachedToSpecialQuestion3_len" + len + "_" + y + "_" + x);
attachedToSpecialQuestion += atsp;
}
return(attachedToSpecialQuestion);
}
}
static void Main()
{
try {
// Sample data
// Sets of days and workers
string[] Shifts =
new string[] { "Mon1", "Tue2", "Wed3", "Thu4", "Fri5", "Sat6",
"Sun7", "Mon8", "Tue9", "Wed10", "Thu11", "Fri12", "Sat13",
"Sun14" };
string[] Workers =
new string[] { "Amy", "Bob", "Cathy", "Dan", "Ed", "Fred", "Gu", "Tobi" };
int nShifts = Shifts.Length;
int nWorkers = Workers.Length;
// Number of workers required for each shift
double[] shiftRequirements =
new double[] { 3, 2, 4, 4, 5, 6, 5, 2, 2, 3, 4, 6, 7, 5 };
// Worker availability: 0 if the worker is unavailable for a shift
double[,] availability =
new double[, ] {
{ 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1 },
{ 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 0 },
{ 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1 },
{ 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1 },
{ 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1 },
{ 0, 1, 1, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1 },
{ 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 }
};
// Create environment
GRBEnv env = new GRBEnv();
// Create initial model
GRBModel model = new GRBModel(env);
model.ModelName = "workforce5_cs";
// Initialize assignment decision variables:
// x[w][s] == 1 if worker w is assigned to shift s.
// This is no longer a pure assignment model, so we must
// use binary variables.
GRBVar[,] x = new GRBVar[nWorkers, nShifts];
for (int w = 0; w < nWorkers; ++w)
{
for (int s = 0; s < nShifts; ++s)
{
x[w, s] =
model.AddVar(0, availability[w, s], 0, GRB.BINARY,
string.Format("{0}.{1}", Workers[w], Shifts[s]));
}
}
// Slack variables for each shift constraint so that the shifts can
// be satisfied
GRBVar[] slacks = new GRBVar[nShifts];
for (int s = 0; s < nShifts; ++s)
{
slacks[s] =
model.AddVar(0, GRB.INFINITY, 0, GRB.CONTINUOUS,
string.Format("{0}Slack", Shifts[s]));
}
// Variable to represent the total slack
GRBVar totSlack = model.AddVar(0, GRB.INFINITY, 0, GRB.CONTINUOUS,
"totSlack");
// Variables to count the total shifts worked by each worker
GRBVar[] totShifts = new GRBVar[nWorkers];
for (int w = 0; w < nWorkers; ++w)
{
totShifts[w] = model.AddVar(0, GRB.INFINITY, 0, GRB.CONTINUOUS,
string.Format("{0}TotShifts", Workers[w]));
}
GRBLinExpr lhs;
// Constraint: assign exactly shiftRequirements[s] workers
// to each shift s, plus the slack
for (int s = 0; s < nShifts; ++s)
{
lhs = new GRBLinExpr();
lhs.AddTerm(1.0, slacks[s]);
for (int w = 0; w < nWorkers; ++w)
{
lhs.AddTerm(1.0, x[w, s]);
}
model.AddConstr(lhs, GRB.EQUAL, shiftRequirements[s], Shifts[s]);
}
// Constraint: set totSlack equal to the total slack
lhs = new GRBLinExpr();
lhs.AddTerm(-1.0, totSlack);
for (int s = 0; s < nShifts; ++s)
{
lhs.AddTerm(1.0, slacks[s]);
}
model.AddConstr(lhs, GRB.EQUAL, 0, "totSlack");
// Constraint: compute the total number of shifts for each worker
for (int w = 0; w < nWorkers; ++w)
{
lhs = new GRBLinExpr();
lhs.AddTerm(-1.0, totShifts[w]);
for (int s = 0; s < nShifts; ++s)
{
lhs.AddTerm(1.0, x[w, s]);
}
model.AddConstr(lhs, GRB.EQUAL, 0, string.Format("totShifts{0}", Workers[w]));
}
// Constraint: set minShift/maxShift variable to less <=/>= to the
// number of shifts among all workers
GRBVar minShift = model.AddVar(0, GRB.INFINITY, 0, GRB.CONTINUOUS,
"minShift");
GRBVar maxShift = model.AddVar(0, GRB.INFINITY, 0, GRB.CONTINUOUS,
"maxShift");
model.AddGenConstrMin(minShift, totShifts, GRB.INFINITY, "minShift");
model.AddGenConstrMax(maxShift, totShifts, -GRB.INFINITY, "maxShift");
// Set global sense for ALL objectives
model.ModelSense = GRB.MINIMIZE;
// Set primary objective
model.SetObjectiveN(totSlack, 0, 2, 1.0, 2.0, 0.1, "TotalSlack");
// Set secondary objective
model.SetObjectiveN(maxShift - minShift, 1, 1, 1.0, 0, 0, "Fairness");
// Save problem
model.Write("workforce5_cs.lp");
// Optimize
int status = solveAndPrint(model, totSlack, nWorkers, Workers, totShifts);
if (status != GRB.Status.OPTIMAL)
{
return;
}
// Dispose of model and environment
model.Dispose();
env.Dispose();
} catch (GRBException e) {
Console.WriteLine("Error code: {0}. {1}", e.ErrorCode, e.Message);
}
}
public GRBVar AddToModel(GRBModel model)
{
return(model.AddVar(lowerBound, upperBound, ObjectiveCoefficient, variableType, name));
}
/// <summary>
/// Creates and saves model to a path set in <see cref="GlobalVariables.GurobiModelPath"/>
/// </summary>
public void Create()
{
using (var sr = new StreamReader(_path))
{
while (!sr.EndOfStream)
{
Rules.Add(new Rule(sr.ReadLine()));
}
}
// Item1 contains a list of unique Constraints and Item2 is a number of bool variables
var tuple = Rules.ReturnUniqueSplitsWithBooleans();
UniqueConstraints = tuple.Item1;
var inputs = new string[GlobalVariables.Dimensions];
for (var i = 0; i < GlobalVariables.Dimensions; i++)
{
inputs[i] = "x" + i;
}
// Create Gurobi Environment and model
var env = new GRBEnv();
Model = new GRBModel(env)
{
ModelName = "OneClassClassifier"
};
// Add continous variables
var continousVariables = new GRBVar[inputs.Length];
for (var i = 0; i < continousVariables.Length; i++)
{
continousVariables[i] = Model.AddVar(-Gurobi.GRB.INFINITY, Gurobi.GRB.INFINITY, 0, Gurobi.GRB.CONTINUOUS,
inputs[i]);
}
// Add binary variables
var binaryVariables = new GRBVar[tuple.Item2];
for (var i = 0; i < binaryVariables.Length; i++)
{
binaryVariables[i] = Model.AddVar(0.0, 1.0, 0.0, Gurobi.GRB.BINARY, $"b{i}");
}
var constraintCounter = 0;
var termsCounter = 0; // Because there is always 1 dimension variable
// Add constraints
foreach (var constraint in UniqueConstraints)
{
termsCounter += 1;
var valueEquals = constraint.Value;
var expr = new GRBLinExpr();
expr.AddTerm(1.0, continousVariables[constraint.Axis]);
foreach (var split in constraint.Splits)
{
double m;
if (constraint.Sign == split.OriginalSign)
{
m = split.OriginalSign == Gurobi.GRB.LESS_EQUAL ? GlobalVariables.M :
-GlobalVariables.M;
}
else
{
m = split.OriginalSign == Gurobi.GRB.LESS_EQUAL ? -GlobalVariables.M :
GlobalVariables.M;
}
if (split.OneMinus)
{
valueEquals += m;
termsCounter += 2;
}
else
{
m = -m;
termsCounter++;
}
expr.AddTerm(m, binaryVariables[split.SplitNumber]);
}
Model.AddConstr(expr, constraint.Sign, valueEquals, $"c{constraintCounter++}");
}
Constraints = constraintCounter;
Terms = termsCounter;
Model.Write(GlobalVariables.GurobiModelPath);
}
public void BalanceGurobi()
{
GRBEnv env = new GRBEnv();
GRBModel model = new GRBModel(env);
DateTime CalculationTimeStart;
DateTime CalculationTimeFinish;
double[] results = new double[measuredValues.ToArray().Length];
if (inputData.balanceSettings.balanceSettingsConstraints == BalanceSettings.BalanceSettingsConstraints.TECHNOLOGIC)
{
//Create variables
GRBVar[] varsTechnologic = new GRBVar[measuredValues.ToArray().Length];
for (int i = 0; i < varsTechnologic.Length; i++)
{
varsTechnologic[i] = model.AddVar(technologicRangeLowerBound[i], technologicRangeUpperBound[i], 0.0, GRB.CONTINUOUS, "x" + i);
}
//Set objective
GRBQuadExpr objTechnologic = new GRBQuadExpr();
for (int i = 0; i < varsTechnologic.Length; i++)
{
objTechnologic.AddTerm(H[i, i] / 2.0, varsTechnologic[i], varsTechnologic[i]);
}
for (int i = 0; i < varsTechnologic.Length; i++)
{
objTechnologic.AddTerm(dVector[i], varsTechnologic[i]);
}
model.SetObjective(objTechnologic);
//Add constraints
GRBLinExpr expr;
for (int i = 0; i < incidenceMatrix.RowCount; i++)
{
expr = new GRBLinExpr();
for (int j = 0; j < incidenceMatrix.ColumnCount; j++)
{
expr.AddTerm(incidenceMatrix[i, j], varsTechnologic[j]);
}
model.AddConstr(expr, GRB.EQUAL, 0.0, "c" + i);
}
// Optimize model
CalculationTimeStart = DateTime.Now;
model.Optimize();
CalculationTimeFinish = DateTime.Now;
results = new double[varsTechnologic.Length];
for (int i = 0; i < results.Length; i++)
{
results[i] = varsTechnologic[i].Get(GRB.DoubleAttr.X);
}
}
else
{
//Create variables
GRBVar[] varsMetrologic = new GRBVar[measuredValues.ToArray().Length];
for (int i = 0; i < varsMetrologic.Length; i++)
{
if (measureIndicator[i, i] == 0)
{
varsMetrologic[i] = model.AddVar(technologicRangeLowerBound[i], technologicRangeUpperBound[i], 0.0, GRB.CONTINUOUS, "x" + i);
}
else
{
varsMetrologic[i] = model.AddVar(metrologicRangeLowerBound[i], metrologicRangeUpperBound[i], 0.0, GRB.CONTINUOUS, "x" + i);
}
}
//Set objective
GRBQuadExpr objMetroologic = new GRBQuadExpr();
for (int i = 0; i < varsMetrologic.Length; i++)
{
objMetroologic.AddTerm(H[i, i] / 2.0, varsMetrologic[i], varsMetrologic[i]);
}
for (int i = 0; i < varsMetrologic.Length; i++)
{
objMetroologic.AddTerm(dVector[i], varsMetrologic[i]);
}
model.SetObjective(objMetroologic);
//Add constraints
GRBLinExpr expr;
for (int i = 0; i < incidenceMatrix.RowCount; i++)
{
expr = new GRBLinExpr();
for (int j = 0; j < incidenceMatrix.ColumnCount; j++)
{
expr.AddTerm(incidenceMatrix[i, j], varsMetrologic[j]);
}
model.AddConstr(expr, GRB.EQUAL, 0.0, "c" + i);
}
// Optimize model
CalculationTimeStart = DateTime.Now;
model.Optimize();
CalculationTimeFinish = DateTime.Now;
results = new double[varsMetrologic.Length];
for (int i = 0; i < results.Length; i++)
{
results[i] = varsMetrologic[i].Get(GRB.DoubleAttr.X);
}
}
model.Dispose();
env.Dispose();
double disbalanceOriginal = incidenceMatrix.Multiply(measuredValues).Subtract(reconciledValues).ToArray().Euclidean();
double disbalance = incidenceMatrix.Multiply(SparseVector.OfVector(new DenseVector(results))).Subtract(reconciledValues).ToArray().Euclidean();
balanceOutput = new BalanceOutput();
balanceOutputVariables = new List <OutputVariables>();
for (int i = 0; i < results.Length; i++)
{
InputVariables outputVariable = inputData.BalanceInputVariables[i];
balanceOutputVariables.Add(new OutputVariables()
{
id = outputVariable.id,
name = outputVariable.name,
value = results[i],
source = outputVariable.sourceId,
target = outputVariable.destinationId,
upperBound = (inputData.balanceSettings.balanceSettingsConstraints == 0 || measureIndicator[i, i] == 0.0) ? technologicRangeUpperBound[i] : metrologicRangeUpperBound[i],
lowerBound = (inputData.balanceSettings.balanceSettingsConstraints == 0 || measureIndicator[i, i] == 0.0) ? technologicRangeLowerBound[i] : metrologicRangeLowerBound[i]
});
}
balanceOutput.CalculationTime = (CalculationTimeFinish - CalculationTimeStart).TotalSeconds;
balanceOutput.balanceOutputVariables = balanceOutputVariables;
balanceOutput.DisbalanceOriginal = disbalanceOriginal;
balanceOutput.Disbalance = disbalance;
balanceOutput.GlobaltestValue = 0.0;
balanceOutput.Status = "Success";
}
static void Main()
{
try {
// Sample data
// Sets of days and workers
string[] Shifts =
new string[] { "Mon1", "Tue2", "Wed3", "Thu4", "Fri5", "Sat6",
"Sun7", "Mon8", "Tue9", "Wed10", "Thu11", "Fri12", "Sat13",
"Sun14" };
string[] Workers =
new string[] { "Amy", "Bob", "Cathy", "Dan", "Ed", "Fred", "Gu" };
int nShifts = Shifts.Length;
int nWorkers = Workers.Length;
// Number of workers required for each shift
double[] shiftRequirements =
new double[] { 3, 2, 4, 4, 5, 6, 5, 2, 2, 3, 4, 6, 7, 5 };
// Amount each worker is paid to work one shift
double[] pay = new double[] { 10, 12, 10, 8, 8, 9, 11 };
// Worker availability: 0 if the worker is unavailable for a shift
double[,] availability =
new double[, ] {
{ 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1 },
{ 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 0 },
{ 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1 },
{ 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1 },
{ 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1 },
{ 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 }
};
// Model
GRBEnv env = new GRBEnv();
GRBModel model = new GRBModel(env);
model.ModelName = "assignment";
// Assignment variables: x[w][s] == 1 if worker w is assigned
// to shift s. Since an assignment model always produces integer
// solutions, we use continuous variables and solve as an LP.
GRBVar[,] x = new GRBVar[nWorkers, nShifts];
for (int w = 0; w < nWorkers; ++w)
{
for (int s = 0; s < nShifts; ++s)
{
x[w, s] =
model.AddVar(0, availability[w, s], pay[w], GRB.CONTINUOUS,
Workers[w] + "." + Shifts[s]);
}
}
// The objective is to minimize the total pay costs
model.ModelSense = GRB.MINIMIZE;
// Constraint: assign exactly shiftRequirements[s] workers
// to each shift s
for (int s = 0; s < nShifts; ++s)
{
GRBLinExpr lhs = 0.0;
for (int w = 0; w < nWorkers; ++w)
{
lhs.AddTerm(1.0, x[w, s]);
}
model.AddConstr(lhs == shiftRequirements[s], Shifts[s]);
}
// Optimize
model.Optimize();
int status = model.Status;
if (status == GRB.Status.UNBOUNDED)
{
Console.WriteLine("The model cannot be solved "
+ "because it is unbounded");
return;
}
if (status == GRB.Status.OPTIMAL)
{
Console.WriteLine("The optimal objective is " + model.ObjVal);
return;
}
if ((status != GRB.Status.INF_OR_UNBD) &&
(status != GRB.Status.INFEASIBLE))
{
Console.WriteLine("Optimization was stopped with status " + status);
return;
}
// Do IIS
Console.WriteLine("The model is infeasible; computing IIS");
LinkedList <string> removed = new LinkedList <string>();
// Loop until we reduce to a model that can be solved
while (true)
{
model.ComputeIIS();
Console.WriteLine("\nThe following constraint cannot be satisfied:");
foreach (GRBConstr c in model.GetConstrs())
{
if (c.IISConstr == 1)
{
Console.WriteLine(c.ConstrName);
// Remove a single constraint from the model
removed.AddFirst(c.ConstrName);
model.Remove(c);
break;
}
}
Console.WriteLine();
model.Optimize();
status = model.Status;
if (status == GRB.Status.UNBOUNDED)
{
Console.WriteLine("The model cannot be solved "
+ "because it is unbounded");
return;
}
if (status == GRB.Status.OPTIMAL)
{
break;
}
if ((status != GRB.Status.INF_OR_UNBD) &&
(status != GRB.Status.INFEASIBLE))
{
Console.WriteLine("Optimization was stopped with status " +
status);
return;
}
}
Console.WriteLine("\nThe following constraints were removed "
+ "to get a feasible LP:");
foreach (string s in removed)
{
Console.Write(s + " ");
}
Console.WriteLine();
// Dispose of model and env
model.Dispose();
env.Dispose();
} catch (GRBException e) {
Console.WriteLine("Error code: " + e.ErrorCode + ". " +
e.Message);
}
}
static void Main()
{
try {
// Nutrition guidelines, based on
// USDA Dietary Guidelines for Americans, 2005
// http://www.health.gov/DietaryGuidelines/dga2005/
string[] Categories =
new string[] { "calories", "protein", "fat", "sodium" };
int nCategories = Categories.Length;
double[] minNutrition = new double[] { 1800, 91, 0, 0 };
double[] maxNutrition = new double[] { 2200, GRB.INFINITY, 65, 1779 };
// Set of foods
string[] Foods =
new string[] { "hamburger", "chicken", "hot dog", "fries",
"macaroni", "pizza", "salad", "milk", "ice cream" };
int nFoods = Foods.Length;
double[] cost =
new double[] { 2.49, 2.89, 1.50, 1.89, 2.09, 1.99, 2.49, 0.89,
1.59 };
// Nutrition values for the foods
double[,] nutritionValues = new double[, ] {
{ 410, 24, 26, 730 }, // hamburger
{ 420, 32, 10, 1190 }, // chicken
{ 560, 20, 32, 1800 }, // hot dog
{ 380, 4, 19, 270 }, // fries
{ 320, 12, 10, 930 }, // macaroni
{ 320, 15, 12, 820 }, // pizza
{ 320, 31, 12, 1230 }, // salad
{ 100, 8, 2.5, 125 }, // milk
{ 330, 8, 10, 180 } // ice cream
};
// Model
GRBEnv env = new GRBEnv();
GRBModel model = new GRBModel(env);
model.ModelName = "diet";
// Create decision variables for the nutrition information,
// which we limit via bounds
GRBVar[] nutrition = new GRBVar[nCategories];
for (int i = 0; i < nCategories; ++i)
{
nutrition[i] =
model.AddVar(minNutrition[i], maxNutrition[i], 0, GRB.CONTINUOUS,
Categories[i]);
}
// Create decision variables for the foods to buy
GRBVar[] buy = new GRBVar[nFoods];
for (int j = 0; j < nFoods; ++j)
{
buy[j] =
model.AddVar(0, GRB.INFINITY, cost[j], GRB.CONTINUOUS, Foods[j]);
}
// The objective is to minimize the costs
model.ModelSense = GRB.MINIMIZE;
// Nutrition constraints
for (int i = 0; i < nCategories; ++i)
{
GRBLinExpr ntot = 0.0;
for (int j = 0; j < nFoods; ++j)
{
ntot.AddTerm(nutritionValues[j, i], buy[j]);
}
model.AddConstr(ntot == nutrition[i], Categories[i]);
}
// Solve
model.Optimize();
PrintSolution(model, buy, nutrition);
Console.WriteLine("\nAdding constraint: at most 6 servings of dairy");
model.AddConstr(buy[7] + buy[8] <= 6.0, "limit_dairy");
// Solve
model.Optimize();
PrintSolution(model, buy, nutrition);
// Dispose of model and env
model.Dispose();
env.Dispose();
} catch (GRBException e) {
Console.WriteLine("Error code: " + e.ErrorCode + ". " +
e.Message);
}
}
static void Main()
{
try {
// Warehouse demand in thousands of units
double[] Demand = new double[] { 15, 18, 14, 20 };
// Plant capacity in thousands of units
double[] Capacity = new double[] { 20, 22, 17, 19, 18 };
// Fixed costs for each plant
double[] FixedCosts =
new double[] { 12000, 15000, 17000, 13000, 16000 };
// Transportation costs per thousand units
double[,] TransCosts =
new double[, ] {
{ 4000, 2000, 3000, 2500, 4500 },
{ 2500, 2600, 3400, 3000, 4000 },
{ 1200, 1800, 2600, 4100, 3000 },
{ 2200, 2600, 3100, 3700, 3200 }
};
// Number of plants and warehouses
int nPlants = Capacity.Length;
int nWarehouses = Demand.Length;
double maxFixed = -GRB.INFINITY;
double minFixed = GRB.INFINITY;
for (int p = 0; p < nPlants; ++p)
{
if (FixedCosts[p] > maxFixed)
{
maxFixed = FixedCosts[p];
}
if (FixedCosts[p] < minFixed)
{
minFixed = FixedCosts[p];
}
}
// Model
GRBEnv env = new GRBEnv();
GRBModel model = new GRBModel(env);
model.ModelName = "multiscenario";
// Plant open decision variables: open[p] == 1 if plant p is open.
GRBVar[] open = new GRBVar[nPlants];
for (int p = 0; p < nPlants; ++p)
{
open[p] = model.AddVar(0, 1, FixedCosts[p], GRB.BINARY, "Open" + p);
}
// Transportation decision variables: how much to transport from
// a plant p to a warehouse w
GRBVar[,] transport = new GRBVar[nWarehouses, nPlants];
for (int w = 0; w < nWarehouses; ++w)
{
for (int p = 0; p < nPlants; ++p)
{
transport[w, p] = model.AddVar(0, GRB.INFINITY, TransCosts[w, p],
GRB.CONTINUOUS, "Trans" + p + "." + w);
}
}
// The objective is to minimize the total fixed and variable costs
model.ModelSense = GRB.MINIMIZE;
// Production constraints
// Note that the right-hand limit sets the production to zero if
// the plant is closed
for (int p = 0; p < nPlants; ++p)
{
GRBLinExpr ptot = 0.0;
for (int w = 0; w < nWarehouses; ++w)
{
ptot.AddTerm(1.0, transport[w, p]);
}
model.AddConstr(ptot <= Capacity[p] * open[p], "Capacity" + p);
}
// Demand constraints
GRBConstr[] demandConstr = new GRBConstr[nWarehouses];
for (int w = 0; w < nWarehouses; ++w)
{
GRBLinExpr dtot = 0.0;
for (int p = 0; p < nPlants; ++p)
{
dtot.AddTerm(1.0, transport[w, p]);
}
demandConstr[w] = model.AddConstr(dtot == Demand[w], "Demand" + w);
}
// We constructed the base model, now we add 7 scenarios
//
// Scenario 0: Represents the base model, hence, no manipulations.
// Scenario 1: Manipulate the warehouses demands slightly (constraint right
// hand sides).
// Scenario 2: Double the warehouses demands (constraint right hand sides).
// Scenario 3: Manipulate the plant fixed costs (objective coefficients).
// Scenario 4: Manipulate the warehouses demands and fixed costs.
// Scenario 5: Force the plant with the largest fixed cost to stay open
// (variable bounds).
// Scenario 6: Force the plant with the smallest fixed cost to be closed
// (variable bounds).
model.NumScenarios = 7;
// Scenario 0: Base model, hence, nothing to do except giving the
// scenario a name
model.Parameters.ScenarioNumber = 0;
model.ScenNName = "Base model";
// Scenario 1: Increase the warehouse demands by 10%
model.Parameters.ScenarioNumber = 1;
model.ScenNName = "Increased warehouse demands";
for (int w = 0; w < nWarehouses; w++)
{
demandConstr[w].ScenNRHS = Demand[w] * 1.1;
}
// Scenario 2: Double the warehouse demands
model.Parameters.ScenarioNumber = 2;
model.ScenNName = "Double the warehouse demands";
for (int w = 0; w < nWarehouses; w++)
{
demandConstr[w].ScenNRHS = Demand[w] * 2.0;
}
// Scenario 3: Decrease the plant fixed costs by 5%
model.Parameters.ScenarioNumber = 3;
model.ScenNName = "Decreased plant fixed costs";
for (int p = 0; p < nPlants; p++)
{
open[p].ScenNObj = FixedCosts[p] * 0.95;
}
// Scenario 4: Combine scenario 1 and scenario 3 */
model.Parameters.ScenarioNumber = 4;
model.ScenNName = "Increased warehouse demands and decreased plant fixed costs";
for (int w = 0; w < nWarehouses; w++)
{
demandConstr[w].ScenNRHS = Demand[w] * 1.1;
}
for (int p = 0; p < nPlants; p++)
{
open[p].ScenNObj = FixedCosts[p] * 0.95;
}
// Scenario 5: Force the plant with the largest fixed cost to stay
// open
model.Parameters.ScenarioNumber = 5;
model.ScenNName = "Force plant with largest fixed cost to stay open";
for (int p = 0; p < nPlants; p++)
{
if (FixedCosts[p] == maxFixed)
{
open[p].ScenNLB = 1.0;
break;
}
}
// Scenario 6: Force the plant with the smallest fixed cost to be
// closed
model.Parameters.ScenarioNumber = 6;
model.ScenNName = "Force plant with smallest fixed cost to be closed";
for (int p = 0; p < nPlants; p++)
{
if (FixedCosts[p] == minFixed)
{
open[p].ScenNUB = 0.0;
break;
}
}
// Guess at the starting point: close the plant with the highest
// fixed costs; open all others
// First, open all plants
for (int p = 0; p < nPlants; ++p)
{
open[p].Start = 1.0;
}
// Now close the plant with the highest fixed cost
Console.WriteLine("Initial guess:");
for (int p = 0; p < nPlants; ++p)
{
if (FixedCosts[p] == maxFixed)
{
open[p].Start = 0.0;
Console.WriteLine("Closing plant " + p + "\n");
break;
}
}
// Use barrier to solve root relaxation
model.Parameters.Method = GRB.METHOD_BARRIER;
// Solve multi-scenario model
model.Optimize();
int nScenarios = model.NumScenarios;
for (int s = 0; s < nScenarios; s++)
{
int modelSense = GRB.MINIMIZE;
// Set the scenario number to query the information for this scenario
model.Parameters.ScenarioNumber = s;
// collect result for the scenario
double scenNObjBound = model.ScenNObjBound;
double scenNObjVal = model.ScenNObjVal;
Console.WriteLine("\n\n------ Scenario " + s
+ " (" + model.ScenNName + ")");
// Check if we found a feasible solution for this scenario
if (scenNObjVal >= modelSense * GRB.INFINITY)
{
if (scenNObjBound >= modelSense * GRB.INFINITY)
{
// Scenario was proven to be infeasible
Console.WriteLine("\nINFEASIBLE");
}
else
{
// We did not find any feasible solution - should not happen in
// this case, because we did not set any limit (like a time
// limit) on the optimization process
Console.WriteLine("\nNO SOLUTION");
}
}
else
{
Console.WriteLine("\nTOTAL COSTS: " + scenNObjVal);
Console.WriteLine("SOLUTION:");
for (int p = 0; p < nPlants; p++)
{
double scenNX = open[p].ScenNX;
if (scenNX > 0.5)
{
Console.WriteLine("Plant " + p + " open");
for (int w = 0; w < nWarehouses; w++)
{
scenNX = transport[w, p].ScenNX;
if (scenNX > 0.0001)
{
Console.WriteLine(" Transport " + scenNX
+ " units to warehouse " + w);
}
}
}
else
{
Console.WriteLine("Plant " + p + " closed!");
}
}
}
}
// Print a summary table: for each scenario we add a single summary
// line
Console.WriteLine("\n\nSummary: Closed plants depending on scenario\n");
Console.WriteLine("{0,8} | {1,17} {2,13}", "", "Plant", "|");
Console.Write("{0,8} |", "Scenario");
for (int p = 0; p < nPlants; p++)
{
Console.Write("{0,6}", p);
}
Console.WriteLine(" | {0,6} Name", "Costs");
for (int s = 0; s < nScenarios; s++)
{
int modelSense = GRB.MINIMIZE;
// Set the scenario number to query the information for this scenario
model.Parameters.ScenarioNumber = s;
// Collect result for the scenario
double scenNObjBound = model.ScenNObjBound;
double scenNObjVal = model.ScenNObjVal;
Console.Write("{0,-8} |", s);
// Check if we found a feasible solution for this scenario
if (scenNObjVal >= modelSense * GRB.INFINITY)
{
if (scenNObjBound >= modelSense * GRB.INFINITY)
{
// Scenario was proven to be infeasible
Console.WriteLine(" {0,-30}| {1,6} " + model.ScenNName,
"infeasible", "-");
}
else
{
// We did not find any feasible solution - should not happen in
// this case, because we did not set any limit (like a time
// limit) on the optimization process
Console.WriteLine(" {0,-30}| {1,6} " + model.ScenNName,
"no solution found", "-");
}
}
else
{
for (int p = 0; p < nPlants; p++)
{
double scenNX = open[p].ScenNX;
if (scenNX > 0.5)
{
Console.Write("{0,6}", " ");
}
else
{
Console.Write("{0,6}", "x");
}
}
Console.WriteLine(" | {0,6} " + model.ScenNName, scenNObjVal);
}
}
// Dispose of model and env
model.Dispose();
env.Dispose();
} catch (GRBException e) {
Console.WriteLine("Error code: " + e.ErrorCode + ". " + e.Message);
}
}
/// <summary>
/// Method called when a process token executes the step.
/// </summary>
public ExitType Execute(IStepExecutionContext context)
{
IState _timenow = _propTimenow.GetState(context);
double timenow = Convert.ToDouble(_timenow.StateValue);
SerializarElement sr = new SerializarElement();
if (File.Exists(sr.SerializationFile))
{
Vect v = sr.deserializa();
vectores = sr.deserializa();
vectores.MipYc = v.MipYc;
vectores.MipYv = v.MipYv;
vectores.MipTc = v.MipTc;
vectores.MipTv = v.MipTv;
//Dinamico
vectores.Din1 = v.Din1;
vectores.DesCam = v.DesCam;
vectores.Fila = v.Fila;
//LP
vectores.TCV = v.TCV;
vectores.TCC = v.TCC;
vectores.TCj = v.TCj;
vectores.TDi = v.TDi;
vectores.Destij = v.Destij;
vectores.Dj = v.Dj;
vectores.Uj = v.Uj;
vectores.Ui = v.Ui;
vectores.RLi = v.RLi;
vectores.RUi = v.RUi;
vectores.PlYc = v.PlYc;
vectores.PlYv = v.PlYv;
vectores.PlTc = v.PlTc;
vectores.PlTv = v.PlTv;
vectores.PlTcmalo = v.PlTcmalo;
vectores.Mine = v.Mine;
vectores.Mineralocado = v.Mineralocado;
vectores.Lastrealocado = v.Lastrealocado;
}
int i = 30;
int j = 20;
double TA;
TA = 0.0158333333; //tiempo de aculatado
double expr;
expr = 0; //variable auxiliar
GRBEnv env = new GRBEnv();
GRBModel disp = new GRBModel(env);
GRBLinExpr L = 320; //Numero auxiliar de velocidad de descarga
GRBLinExpr M = 110; //Numero max camiones
double[,] Tcvij = new double[30, 20];
double[,] Tccij = new double[30, 20];
for (int a = 0; a < i; a = a + 1) // saca tiempo de viaje total
{
for (int b = 0; b < j; b = b + 1)
{
Tcvij[a, b] = vectores.TCV[a, b] + vectores.TDi[a];
if (vectores.Destij[a, b] != 0)
{
Tccij[a, b] = vectores.TCC[a, b] + vectores.TCj[b] + TA;
}
else
{
Tccij[a, b] = 9999;
}
}
}
for (int b = 0; b < j; b = b + 1)
{
expr = 0;
for (int a = 0; a < i; a = a + 1)
{
expr = expr + vectores.Destij[a, b];
}
if (expr == 0)
{
vectores.Uj[b] = 0;
}
}
GRBVar[,] Ycij = new GRBVar[30, 20]; //Camiones cargados de i a j
GRBVar[,] Yvij = new GRBVar[30, 20]; //Camiones vacios de i a j
GRBVar[,] Tcij = new GRBVar[30, 20]; //Throughtput cargado de i a j
GRBVar[,] Tvij = new GRBVar[30, 20]; //Throughtput vacio de i a j
for (int a = 0; a < i; a = a + 1)
{
for (int b = 0; b < j; b = b + 1)
{
Ycij[a, b] = disp.AddVar(0.0, 1000, 0.0, GRB.CONTINUOUS, "Yc" + a + "_" + b);
Yvij[a, b] = disp.AddVar(0.0, 1000, 0.0, GRB.CONTINUOUS, "Yv" + a + "_" + b);
Tcij[a, b] = disp.AddVar(0.0, 100000, 0.0, GRB.CONTINUOUS, "Tc" + a + "_" + b); //tonelaje cargado pasando hacia j en toneladas
Tvij[a, b] = disp.AddVar(0.0, 100000, 0.0, GRB.CONTINUOUS, "Tv" + a + "_" + b); //tonelaje vacio pasando hacia j en toneladas
}
}
for (int a = 0; a < i; a = a + 1)
{
for (int b = 0; b < j; b = b + 1)
{
disp.AddConstr(Tcij[a, b] == ((Ycij[a, b] / Tccij[a, b]) * L), "tonelaje_minimo" + a);
disp.AddConstr(Tvij[a, b] == ((Yvij[a, b] / Tcvij[a, b]) * L), "tonelaje_maximo" + b);
}
}
for (int b = 0; b < j; b = b + 1)
{
GRBLinExpr P = 0;
for (int a = 0; a < i; a = a + 1)
{
P = P + Tcij[a, b];
}
disp.AddConstr((vectores.Dj[b] * vectores.Uj[b]), GRB.LESS_EQUAL, P, "tonelaje_minimo_de_palas" + b);
}
for (int a = 0; a < i; a = a + 1)
{
GRBLinExpr P = 0;
for (int b = 0; b < j; b = b + 1)
{
P = P + Tcij[a, b];
}
disp.AddConstr(P, GRB.LESS_EQUAL, vectores.RUi[a] * vectores.Ui[a], "tonelaje_minimo_a_basureros" + a);
}
//Restriccion del chancador independiente
for (int a = 1; a < i; a = a + 1)
{
GRBLinExpr P = 0;
for (int b = 0; b < j; b = b + 1)
{
P = P + Tcij[a, b];
}
disp.AddConstr(vectores.RLi[a] * vectores.Ui[a], GRB.LESS_EQUAL, P, "tonelajecargado2" + a);
}
for (int a = 0; a < i; a = a + 1)
{
GRBLinExpr P = 0;
for (int b = 0; b < j; b = b + 1)
{
P = P + Tcij[a, b];
}
disp.AddConstr(vectores.Ui[a] * (vectores.RLi[a] - (vectores.PlTcmalo[0, 3] * (1 - vectores.Uj[3]) + vectores.PlTcmalo[0, 4] * (1 - vectores.Uj[4]) + vectores.PlTcmalo[0, 5] * (1 - vectores.Uj[5]) + vectores.PlTcmalo[0, 16] * (1 - vectores.Uj[16]) + vectores.PlTcmalo[0, 17] * (1 - vectores.Uj[17]))), GRB.LESS_EQUAL, P, "tonelajecargado2" + a);
}
GRBLinExpr Qonda = 0;
for (int a = 0; a < i; a = a + 1)
{
for (int b = 0; b < j; b = b + 1)
{
Qonda = (Qonda + Ycij[a, b] + Yvij[a, b]);
}
}
disp.AddConstr(Qonda, GRB.LESS_EQUAL, M, "maximocamiones");
for (int b = 0; b < j; b = b + 1)
{
GRBLinExpr P1 = 0;
GRBLinExpr P2 = 0;
for (int a = 0; a < i; a = a + 1)
{
P1 = P1 + Tcij[a, b];
P2 = P2 + Tvij[a, b];
}
disp.AddConstr(P1, GRB.EQUAL, P2, "conservaciondeflujo" + i);
}
for (int a = 0; a < i; a = a + 1)
{
GRBLinExpr P1 = 0;
GRBLinExpr P2 = 0;
for (int b = 0; b < j; b = b + 1)
{
P1 = P1 + Tcij[a, b];
P2 = P2 + Tvij[a, b];
}
disp.AddConstr(P1, GRB.EQUAL, P2, "conservaciondeflujo2" + i);
}
GRBLinExpr Pobj = 0;
for (int a = 0; a < i; a = a + 1)
{
for (int b = 0; b < j; b = b + 1)
{
Pobj = Pobj + Ycij[a, b] + Yvij[a, b];
}
}
disp.Update();
disp.SetObjective(Pobj, GRB.MINIMIZE);
disp.Optimize();
double sumayc = 0;
double sumayv = 0;
double sumatc = 0;
double sumatv = 0;
for (int a = 0; a < i; a = a + 1)
{
double sumajyc = 0;
double sumajyv = 0;
double sumajtc = 0;
double sumajtv = 0;
for (int b = 0; b < j; b = b + 1)
{
vectores.PlYc[a, b] = Convert.ToDouble(Ycij[a, b].X);
vectores.PlYv[a, b] = Convert.ToDouble(Yvij[a, b].X);
vectores.PlTc[a, b] = Convert.ToDouble(Tcij[a, b].X);
vectores.PlTv[a, b] = Convert.ToDouble(Tvij[a, b].X);
sumayc = sumayc + vectores.PlYc[a, b]; //suma todos los flujos llenos
sumayv = sumayv + vectores.PlYv[a, b]; //suma todos los flujos vacios
sumatc = sumatc + vectores.PlTc[a, b]; //suma todos los camiones llenos
sumatv = sumatv + vectores.PlTv[a, b]; //suma todos los camiones vacios
sumajyc = sumajyc + Convert.ToDouble(Ycij[a, b].X); //suma todo el flujo cargado al botadero "a"
sumajyv = sumajyv + Convert.ToDouble(Yvij[a, b].X); //suma todo el flujo vacio al botadero "a"
sumajtc = sumajtc + Convert.ToDouble(Tcij[a, b].X); //suma todos los camiones cargados yendo a botadero "a"
sumajtv = sumajtv + Convert.ToDouble(Tvij[a, b].X); //suma todos los camiones vacios yendo a botadero "a"
}
vectores.PlYc[a, 20] = sumajyc; // deja total
vectores.PlYv[a, 20] = sumajyv; //
vectores.PlTc[a, 20] = sumajtc; //
vectores.PlTv[a, 20] = sumajtv; //
}
for (int b = 0; b < j; b = b + 1)
{
double sumaiyc = 0;
double sumaiyv = 0;
double sumaitc = 0;
double sumaitv = 0;
for (int a = 0; a < i; a = a + 1)
{
sumaiyc = sumaiyc + Convert.ToDouble(Ycij[a, b].X);
sumaiyv = sumaiyv + Convert.ToDouble(Yvij[a, b].X);
sumaitc = sumaitc + Convert.ToDouble(Tcij[a, b].X);
sumaitv = sumaitv + Convert.ToDouble(Tvij[a, b].X);
}
vectores.PlYc[30, b] = sumaiyc;
vectores.PlYv[30, b] = sumaiyv;
vectores.PlTc[30, b] = sumaitc;
vectores.PlTv[30, b] = sumaitv;
}
vectores.PlYc[30, 20] = sumayc;
vectores.PlYv[30, 20] = sumayv;
vectores.PlTc[30, 20] = sumatc;
vectores.PlTv[30, 20] = sumatv;
_timenow.StateValue = vectores.PlTc[0, 20];
sr.serializa(vectores);
sr.closeStream();
disp.Dispose();
env.Dispose();
return(ExitType.FirstExit);
}
static void Main(string[] args)
{
int n = 9;
int s = 3;
if (args.Length < 1)
{
Console.Out.WriteLine("Usage: sudoku_cs filename");
return;
}
try {
GRBEnv env = new GRBEnv();
GRBModel model = new GRBModel(env);
// Create 3-D array of model variables
GRBVar[,,] vars = new GRBVar[n, n, n];
for (int i = 0; i < n; i++)
{
for (int j = 0; j < n; j++)
{
for (int v = 0; v < n; v++)
{
string st = "G_" + i.ToString() + "_" + j.ToString()
+ "_" + v.ToString();
vars[i, j, v] = model.AddVar(0.0, 1.0, 0.0, GRB.BINARY, st);
}
}
}
// Add constraints
GRBLinExpr expr;
// Each cell must take one value
for (int i = 0; i < n; i++)
{
for (int j = 0; j < n; j++)
{
expr = 0.0;
for (int v = 0; v < n; v++)
{
expr.AddTerm(1.0, vars[i, j, v]);
}
string st = "V_" + i.ToString() + "_" + j.ToString();
model.AddConstr(expr == 1.0, st);
}
}
// Each value appears once per row
for (int i = 0; i < n; i++)
{
for (int v = 0; v < n; v++)
{
expr = 0.0;
for (int j = 0; j < n; j++)
{
expr.AddTerm(1.0, vars[i, j, v]);
}
string st = "R_" + i.ToString() + "_" + v.ToString();
model.AddConstr(expr == 1.0, st);
}
}
// Each value appears once per column
for (int j = 0; j < n; j++)
{
for (int v = 0; v < n; v++)
{
expr = 0.0;
for (int i = 0; i < n; i++)
{
expr.AddTerm(1.0, vars[i, j, v]);
}
string st = "C_" + j.ToString() + "_" + v.ToString();
model.AddConstr(expr == 1.0, st);
}
}
// Each value appears once per sub-grid
for (int v = 0; v < n; v++)
{
for (int i0 = 0; i0 < s; i0++)
{
for (int j0 = 0; j0 < s; j0++)
{
expr = 0.0;
for (int i1 = 0; i1 < s; i1++)
{
for (int j1 = 0; j1 < s; j1++)
{
expr.AddTerm(1.0, vars[i0 * s + i1, j0 * s + j1, v]);
}
}
string st = "Sub_" + v.ToString() + "_" + i0.ToString()
+ "_" + j0.ToString();
model.AddConstr(expr == 1.0, st);
}
}
}
// Fix variables associated with pre-specified cells
StreamReader sr = File.OpenText(args[0]);
for (int i = 0; i < n; i++)
{
string input = sr.ReadLine();
for (int j = 0; j < n; j++)
{
int val = (int)input[j] - 48 - 1; // 0-based
if (val >= 0)
{
vars[i, j, val].LB = 1.0;
}
}
}
// Optimize model
model.Optimize();
// Write model to file
model.Write("sudoku.lp");
double[,,] x = model.Get(GRB.DoubleAttr.X, vars);
Console.WriteLine();
for (int i = 0; i < n; i++)
{
for (int j = 0; j < n; j++)
{
for (int v = 0; v < n; v++)
{
if (x[i, j, v] > 0.5)
{
Console.Write(v + 1);
}
}
}
Console.WriteLine();
}
// Dispose of model and env
model.Dispose();
env.Dispose();
} catch (GRBException e) {
Console.WriteLine("Error code: " + e.ErrorCode + ". " + e.Message);
}
}
static void Main()
{
try {
// Warehouse demand in thousands of units
double[] Demand = new double[] { 15, 18, 14, 20 };
// Plant capacity in thousands of units
double[] Capacity = new double[] { 20, 22, 17, 19, 18 };
// Fixed costs for each plant
double[] FixedCosts =
new double[] { 12000, 15000, 17000, 13000, 16000 };
// Transportation costs per thousand units
double[,] TransCosts =
new double[, ] {
{ 4000, 2000, 3000, 2500, 4500 },
{ 2500, 2600, 3400, 3000, 4000 },
{ 1200, 1800, 2600, 4100, 3000 },
{ 2200, 2600, 3100, 3700, 3200 }
};
// Number of plants and warehouses
int nPlants = Capacity.Length;
int nWarehouses = Demand.Length;
// Model
GRBEnv env = new GRBEnv();
GRBModel model = new GRBModel(env);
model.ModelName = "facility";
// Plant open decision variables: open[p] == 1 if plant p is open.
GRBVar[] open = new GRBVar[nPlants];
for (int p = 0; p < nPlants; ++p)
{
open[p] = model.AddVar(0, 1, FixedCosts[p], GRB.BINARY, "Open" + p);
}
// Transportation decision variables: how much to transport from
// a plant p to a warehouse w
GRBVar[,] transport = new GRBVar[nWarehouses, nPlants];
for (int w = 0; w < nWarehouses; ++w)
{
for (int p = 0; p < nPlants; ++p)
{
transport[w, p] =
model.AddVar(0, GRB.INFINITY, TransCosts[w, p], GRB.CONTINUOUS,
"Trans" + p + "." + w);
}
}
// The objective is to minimize the total fixed and variable costs
model.ModelSense = GRB.MINIMIZE;
// Production constraints
// Note that the right-hand limit sets the production to zero if
// the plant is closed
for (int p = 0; p < nPlants; ++p)
{
GRBLinExpr ptot = 0.0;
for (int w = 0; w < nWarehouses; ++w)
{
ptot.AddTerm(1.0, transport[w, p]);
}
model.AddConstr(ptot <= Capacity[p] * open[p], "Capacity" + p);
}
// Demand constraints
for (int w = 0; w < nWarehouses; ++w)
{
GRBLinExpr dtot = 0.0;
for (int p = 0; p < nPlants; ++p)
{
dtot.AddTerm(1.0, transport[w, p]);
}
model.AddConstr(dtot == Demand[w], "Demand" + w);
}
// Guess at the starting point: close the plant with the highest
// fixed costs; open all others
// First, open all plants
for (int p = 0; p < nPlants; ++p)
{
open[p].Start = 1.0;
}
// Now close the plant with the highest fixed cost
Console.WriteLine("Initial guess:");
double maxFixed = -GRB.INFINITY;
for (int p = 0; p < nPlants; ++p)
{
if (FixedCosts[p] > maxFixed)
{
maxFixed = FixedCosts[p];
}
}
for (int p = 0; p < nPlants; ++p)
{
if (FixedCosts[p] == maxFixed)
{
open[p].Start = 0.0;
Console.WriteLine("Closing plant " + p + "\n");
break;
}
}
// Use barrier to solve root relaxation
model.Parameters.Method = GRB.METHOD_BARRIER;
// Solve
model.Optimize();
// Print solution
Console.WriteLine("\nTOTAL COSTS: " + model.ObjVal);
Console.WriteLine("SOLUTION:");
for (int p = 0; p < nPlants; ++p)
{
if (open[p].X > 0.99)
{
Console.WriteLine("Plant " + p + " open:");
for (int w = 0; w < nWarehouses; ++w)
{
if (transport[w, p].X > 0.0001)
{
Console.WriteLine(" Transport " +
transport[w, p].X + " units to warehouse " + w);
}
}
}
else
{
Console.WriteLine("Plant " + p + " closed!");
}
}
// Dispose of model and env
model.Dispose();
env.Dispose();
} catch (GRBException e) {
Console.WriteLine("Error code: " + e.ErrorCode + ". " + e.Message);
}
}
void BuildGRBModel()
{
_env = new GRBEnv("SolutionLog.log");
_env.Set(GRB.DoubleParam.MIPGap, 0.0);
_env.Set(GRB.DoubleParam.TimeLimit, 500);
_env.Set(GRB.DoubleParam.Heuristics, 0.5);
_grbModel = new GRBModel(_env);
//决策变量
foreach (Node n in Data.NodeSet)
{
n.Result_GenerateFlow = _grbModel.AddVar(0.0, Data.M, 0.0, GRB.CONTINUOUS, "g_" + n.ID);
n.Result_IsServerLoacationSelected = _grbModel.AddVar(0.0, 1.0, 0.0, GRB.BINARY, "x_" + n.ID);
}
foreach (Arc a in Data.ArcSet)
{
a.Result_FlowF = _grbModel.AddVar(0.0, Data.M, 0.0, GRB.CONTINUOUS, "fF_" + a.FromNode.ID + "_" + a.ToNode.ID);
a.Result_FlowR = _grbModel.AddVar(0.0, Data.M, 0.0, GRB.CONTINUOUS, "fR_" + a.FromNode.ID + "_" + a.ToNode.ID);
}
_grbModel.Update();
//目标函数
GRBLinExpr expr1 = 0;
foreach (Node n in Data.NodeSet)
{
expr1 += n.Result_IsServerLoacationSelected * Data.ServerInstalationFee;
}
GRBLinExpr expr2 = 0;
foreach (Arc a in Data.ArcSet)
{
expr2 += (a.Result_FlowF + a.Result_FlowR) * Data.FlowFeePerUnit;
}
_grbModel.SetObjective(expr1 + expr2, GRB.MINIMIZE);
//约束条件
foreach (Node n in Data.NodeSet)
{
_grbModel.AddConstr(n.Result_GenerateFlow <= n.Result_IsServerLoacationSelected * Data.M, "ct1_" + n.ID);
}
foreach (Node n in Data.NodeSet)
{
GRBLinExpr sum1 = 0;
GRBLinExpr sum2 = 0;
GRBLinExpr sum3 = 0;
GRBLinExpr sum4 = 0;
foreach (Arc a in n.ArcSet)
{
if (a.ToNode == n)//进
{
sum1 += a.Result_FlowF;
sum3 += a.Result_FlowR;
}
else//出
{
sum2 += a.Result_FlowR;
sum4 += a.Result_FlowF;
}
}
_grbModel.AddConstr(n.Result_GenerateFlow + sum1 + sum2 == n.Demand + sum3 + sum4, "ct2_" + n.ID);
}
foreach (Arc a in Data.ArcSet)
{
_grbModel.AddConstr(a.Result_FlowF + a.Result_FlowR <= a.Capacity, "ct3_" + a.FromNode.ID + "_" + a.ToNode.ID);
}
}
static void Main()
{
try {
// Sample data
// Sets of days and workers
string[] Shifts =
new string[] { "Mon1", "Tue2", "Wed3", "Thu4", "Fri5", "Sat6",
"Sun7", "Mon8", "Tue9", "Wed10", "Thu11", "Fri12", "Sat13",
"Sun14" };
string[] Workers =
new string[] { "Amy", "Bob", "Cathy", "Dan", "Ed", "Fred", "Gu" };
int nShifts = Shifts.Length;
int nWorkers = Workers.Length;
// Number of workers required for each shift
double[] shiftRequirements =
new double[] { 3, 2, 4, 4, 5, 6, 5, 2, 2, 3, 4, 6, 7, 5 };
// Worker availability: 0 if the worker is unavailable for a shift
double[,] availability =
new double[, ] {
{ 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1 },
{ 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 0 },
{ 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1 },
{ 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1 },
{ 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1 },
{ 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 }
};
// Model
GRBEnv env = new GRBEnv();
GRBModel model = new GRBModel(env);
model.ModelName = "assignment";
// Assignment variables: x[w][s] == 1 if worker w is assigned
// to shift s. This is no longer a pure assignment model, so we must
// use binary variables.
GRBVar[,] x = new GRBVar[nWorkers, nShifts];
for (int w = 0; w < nWorkers; ++w)
{
for (int s = 0; s < nShifts; ++s)
{
x[w, s] =
model.AddVar(0, availability[w, s], 0, GRB.BINARY,
Workers[w] + "." + Shifts[s]);
}
}
// Slack variables for each shift constraint so that the shifts can
// be satisfied
GRBVar[] slacks = new GRBVar[nShifts];
for (int s = 0; s < nShifts; ++s)
{
slacks[s] =
model.AddVar(0, GRB.INFINITY, 0, GRB.CONTINUOUS,
Shifts[s] + "Slack");
}
// Variable to represent the total slack
GRBVar totSlack = model.AddVar(0, GRB.INFINITY, 0, GRB.CONTINUOUS,
"totSlack");
// Variables to count the total shifts worked by each worker
GRBVar[] totShifts = new GRBVar[nWorkers];
for (int w = 0; w < nWorkers; ++w)
{
totShifts[w] = model.AddVar(0, GRB.INFINITY, 0, GRB.CONTINUOUS,
Workers[w] + "TotShifts");
}
GRBLinExpr lhs;
// Constraint: assign exactly shiftRequirements[s] workers
// to each shift s, plus the slack
for (int s = 0; s < nShifts; ++s)
{
lhs = new GRBLinExpr();
lhs.AddTerm(1.0, slacks[s]);
for (int w = 0; w < nWorkers; ++w)
{
lhs.AddTerm(1.0, x[w, s]);
}
model.AddConstr(lhs == shiftRequirements[s], Shifts[s]);
}
// Constraint: set totSlack equal to the total slack
lhs = new GRBLinExpr();
for (int s = 0; s < nShifts; ++s)
{
lhs.AddTerm(1.0, slacks[s]);
}
model.AddConstr(lhs == totSlack, "totSlack");
// Constraint: compute the total number of shifts for each worker
for (int w = 0; w < nWorkers; ++w)
{
lhs = new GRBLinExpr();
for (int s = 0; s < nShifts; ++s)
{
lhs.AddTerm(1.0, x[w, s]);
}
model.AddConstr(lhs == totShifts[w], "totShifts" + Workers[w]);
}
// Objective: minimize the total slack
model.SetObjective(1.0 * totSlack);
// Optimize
int status = solveAndPrint(model, totSlack, nWorkers, Workers, totShifts);
if (status != GRB.Status.OPTIMAL)
{
return;
}
// Constrain the slack by setting its upper and lower bounds
totSlack.UB = totSlack.X;
totSlack.LB = totSlack.X;
// Variable to count the average number of shifts worked
GRBVar avgShifts =
model.AddVar(0, GRB.INFINITY, 0, GRB.CONTINUOUS, "avgShifts");
// Variables to count the difference from average for each worker;
// note that these variables can take negative values.
GRBVar[] diffShifts = new GRBVar[nWorkers];
for (int w = 0; w < nWorkers; ++w)
{
diffShifts[w] = model.AddVar(-GRB.INFINITY, GRB.INFINITY, 0,
GRB.CONTINUOUS, Workers[w] + "Diff");
}
// Constraint: compute the average number of shifts worked
lhs = new GRBLinExpr();
for (int w = 0; w < nWorkers; ++w)
{
lhs.AddTerm(1.0, totShifts[w]);
}
model.AddConstr(lhs == nWorkers * avgShifts, "avgShifts");
// Constraint: compute the difference from the average number of shifts
for (int w = 0; w < nWorkers; ++w)
{
model.AddConstr(totShifts[w] - avgShifts == diffShifts[w],
Workers[w] + "Diff");
}
// Objective: minimize the sum of the square of the difference from the
// average number of shifts worked
GRBQuadExpr qobj = new GRBQuadExpr();
for (int w = 0; w < nWorkers; ++w)
{
qobj.AddTerm(1.0, diffShifts[w], diffShifts[w]);
}
model.SetObjective(qobj);
// Optimize
status = solveAndPrint(model, totSlack, nWorkers, Workers, totShifts);
if (status != GRB.Status.OPTIMAL)
{
return;
}
// Dispose of model and env
model.Dispose();
env.Dispose();
} catch (GRBException e) {
Console.WriteLine("Error code: " + e.ErrorCode + ". " +
e.Message);
}
}
public void OptimalPlacement(ref List <Station> stationList, ref List <OHCAEvent> eventList)
{
int[,] a = new int[J, I];
for (int j = 0; j < J; j++)
{
for (int i = 0; i < I; i++)
{
a[j, i] = (Utils.GetDistance(stationList[i].lat, stationList[i].lon, eventList[j].lat, eventList[j].lon) < Utils.GOLDEN_TIME - 1.0 / 6.0) ? 1 : 0;
}
}
try
{
GRBEnv env = new GRBEnv("Boutilier.log");
GRBModel model = new GRBModel(env);
GRBVar[] y = new GRBVar[I];
for (int i = 0; i < I; i++)
{
y[i] = model.AddVar(0.0, 1.0, 0.0, GRB.BINARY, "y_" + i);
}
GRBVar[, ] z = new GRBVar[J, I];
for (int j = 0; j < J; j++)
{
for (int i = 0; i < I; i++)
{
z[j, i] = model.AddVar(0.0, 1.0, 0.0, GRB.BINARY, "z_" + i + "," + j);
}
}
GRBLinExpr obj_expr = 0.0;
for (int i = 0; i < I; i++)
{
obj_expr.AddTerm(1.0, y[i]);
}
model.SetObjective(obj_expr, GRB.MINIMIZE);
GRBLinExpr bigExpr = 0.0;
for (int j = 0; j < J; j++)
{
GRBLinExpr expr = 0.0;
for (int i = 0; i < I; i++)
{
expr.AddTerm(1, z[j, i]);
}
bigExpr.Add(expr);
model.AddConstr(expr, GRB.LESS_EQUAL, 1.0, "c0_" + j);
}
model.AddConstr(bigExpr, GRB.GREATER_EQUAL, f / 100.0 * J, "c1");
for (int j = 0; j < J; j++)
{
for (int i = 0; i < I; i++)
{
model.AddConstr(z[j, i], GRB.LESS_EQUAL, a[j, i] * y[i], "c2_" + i + "," + j);
}
}
model.Write("model_b.lp");
model.Optimize();
int optimstatus = model.Status;
if (optimstatus == GRB.Status.INF_OR_UNBD)
{
model.Parameters.Presolve = 0;
model.Optimize();
optimstatus = model.Status;
}
if (optimstatus == GRB.Status.OPTIMAL)
{
}
else if (optimstatus == GRB.Status.INFEASIBLE)
{
Console.WriteLine("Model is unbounded");
}
else
{
Console.WriteLine("Optimization was stopped with status = " + optimstatus);
}
List <Station> tempList = new List <Station>();
CloneList(stationList, tempList);
stationList.Clear();
for (int i = 0; i < I; i++)
{
if (y[i].Get(GRB.DoubleAttr.X) > 0)
{
stationList.Add(tempList[i]);
}
}
I = stationList.Count;
coverList = new List <List <int> >();
for (int i = 0; i < I; i++)
{
coverList.Add(new List <int>());
}
for (int j = 0; j < J; j++)
{
for (int i = 0; i < I; i++)
{
if (z[j, i].Get(GRB.DoubleAttr.X) > 0)
{
coverList[i].Add(j);
}
}
}
model.Dispose();
env.Dispose();
}
catch (GRBException e)
{
Console.WriteLine("Error code : " + e.ErrorCode + ", " + e.Message);
}
}
private void RunOptimization()
{
GRBEnv env = new GRBEnv();
GRBModel model = new GRBModel(env);
List <List <GRBVar> > varsFromElements = new List <List <GRBVar> >();
//Variables: LoD for each element with their respective utility value
for (var i = 0; i < _model.Elements.Count; i++)
{
var element = _model.Elements[i];
var allLoads = CalcUtil.GetAllCognitiveLoadsForElement(element);
List <GRBVar> varsCurrentElement = new List <GRBVar>();
var lowerBound = 0.0;
var upperBound = 0.0;
for (var j = 0; j < allLoads.Count; j++)
{
//Fix element and current LoD if flag is set, i.e. lower and upper bound are 1.0
if (element.FixateElement)
{
//lowerBound = (j + 1) == element.CurrentLevelOfDetail ? 1.0 : 0.0;
if (element.ElementIsInView)
{
lowerBound = (j + 1) == element.CurrentLevelOfDetail ? 1.0 : 0.0;
}
else
{
lowerBound = (j + 1) == element.MaxViewLevelOfDetail ? 1.0 : 0.0;
}
}
//Omit element if omit-flag is set, ie lower and upper bound are 0.0
//also: minimum LoD is 1 for any element that is optimized
upperBound = !element.OmitElement && j > 0 ? 1.0 : 0.0;
if (lowerBound < 1.0 && upperBound > 0.0)
{
//element is in sight, therefore should be spatially anchored, not in view
//if (element.ElementIsInView && (j + 1) <= 2)
//{
// upperBound = 0.0;
//}
//else
if (!element.ElementIsInView && ((j + 1) > element.MaxViewLevelOfDetail || (j + 1) < element.MinViewLevelOfDetail))
{
upperBound = 0.0;
}
}
//Disable changing the LoD by more than 1, ie set upper bound to 0.0 (except if element is fixated)
//var absLoDDifference = Math.Abs(element.CurrentLevelOfDetail - 1 - j);
//if (lowerBound < 1.0 && absLoDDifference > 1 && (j + 1) > 1)
// upperBound = 0.0;
GRBVar eLod = model.AddVar(lowerBound, upperBound, CalcUtil.GetObjectiveForElement(element, j + 1, _model), GRB.BINARY, "e_" + i + "_lod_" + j);
varsCurrentElement.Add(eLod);
}
varsFromElements.Add(varsCurrentElement);
}
//Constraint: overall cognitive load must be below user's cognitive capacity
GRBLinExpr lhs = 0.0;
for (var i = 0; i < _model.Elements.Count; i++)
{
var element = _model.Elements[i];
var allLoads = CalcUtil.GetAllCognitiveLoadsForElement(element);
for (var j = 0; j < allLoads.Count; j++)
{
var load = allLoads[j] + CalcUtil.GetTimeDependentCognitiveLoadOnsetPenalty(element, _model);
lhs.AddTerm(load, varsFromElements[i][j]);
}
}
model.AddConstr(lhs, GRB.LESS_EQUAL, _model.UserModel.CognitiveCapacity, "c_cog");
//Constraint: constraints to number of available slots
lhs = 0.0;
for (var i = 0; i < _model.Elements.Count; i++)
{
for (var j = 0; j < _model.Elements[i].MaxLevelOfDetail; j++)
{
lhs.AddTerm(1.0, varsFromElements[i][j]);
}
}
model.AddConstr(lhs, GRB.GREATER_EQUAL, _model.NumMinPlacementSlots, "c_slots_min");
model.AddConstr(lhs, GRB.LESS_EQUAL, _model.NumMaxPlacementSlots, "c_slots_max");
//Constraint: only 1 LoD per Element
for (var i = 0; i < _model.Elements.Count; i++)
{
lhs = 0.0;
for (var j = 0; j < _model.Elements[i].MaxLevelOfDetail; j++)
{
lhs.AddTerm(1.0, varsFromElements[i][j]);
}
model.AddConstr(lhs, GRB.LESS_EQUAL, 1.0, "c" + i + "_lod");
}
model.ModelSense = GRB.MAXIMIZE;
model.Optimize();
var status = model.Status;
_model.IsFeasible = !(status == GRB.Status.INF_OR_UNBD || status == GRB.Status.INFEASIBLE || status == GRB.Status.UNBOUNDED);
if (_model.IsFeasible)
{
//UpdateModels(model, varsFromElements);
StoreAllSolutions(model);
Console.WriteLine(@"The model solved with cogLoad " + _model.UserModel.CognitiveCapacity + " / objective " + _model.Solutions[0].Objective);
}
else
{
Console.WriteLine(@"The model cannot be solved because it is infeasible or unbounded");
}
model.Dispose();
env.Dispose();
}
public static GRBVar AddVar(this GRBModel _m, double lb, double ub, char type, string _prefix = null)
{
return(_m.AddVar(lb, ub, 0, type, _prefix));
}
public HttpResponseMessage Optimize(string RunName)
{
using (var dbConn = new ApplicationDbContext())
{
//Variables for students, semesters, courses, and course/semester offerings
students = dbConn.StudentPreferences.Where(m => m.IsActive == true).Include(m => m.Courses).Include(m => m.Student.CompletedCourses).OrderByDescending(m => m.Student.CompletedCourses.Count()).ToArray();
crssems = dbConn.CourseSemesters.Where(m => m.IsActive == true).Include(m => m.Course).Include(m => m.Semester).ToArray();
courses = crssems.Select(m => m.Course).Distinct().ToArray();
sems = crssems.Select(m => m.Semester).Distinct().OrderBy(m => m.Type).OrderBy(m => m.Year).ToArray();
var completed = dbConn.CompletedCourses.ToList();
try
{
GRBEnv env = new GRBEnv("mip1.log");
GRBModel model = new GRBModel(env);
model.Set(GRB.StringAttr.ModelName, "Course Optimizer");
GRBVar[,] slacks = new GRBVar[courses.Length, sems.Length];
//Assignment of student, course, and semester. Student must have a desire to take the coure, has not taken the course, and the course is offered to be included
GRBVar[,,] CourseAllocation = new GRBVar[students.Length, courses.Length, sems.Length];
for (int i = 0; i < students.Length; i++)
{
for (int j = 0; j < courses.Length; j++)
{
for (int k = 0; k < sems.Length; k++)
{
if (students[i].Courses.Contains(courses[j]) && !completed.Any(m => m.GaTechId == students[i].GaTechId && courses[j].ID == m.Course_ID) && crssems.Contains(crssems.SingleOrDefault(m => m.Course == courses[j] && m.Semester == sems[k])))
CourseAllocation[i, j, k] = model.AddVar(0, 1, 1, GRB.BINARY, "students." + (i + 1).ToString() + "_Course." + (j + 1).ToString() + "_Semester." + (k + 1).ToString());
else
CourseAllocation[i, j, k] = model.AddVar(0, 0, 1, GRB.BINARY, "students." + (i + 1).ToString() + "_Course." + (j + 1).ToString() + "_Semester." + (k + 1).ToString());
}
}
}
model.Set(GRB.IntAttr.ModelSense, 1);
model.Update();
//MUST TAKE DESIRED COURSE ONLY ONCE
//Constrains the students to only take courses they desire once and for when the course is offered and does not allow a repeat of a course in another semester
for (int i = 0; i < students.Length; i++)
{
for (int j = 0; j < courses.Length; j++)
{
if (students[i].Courses.Contains(courses[j]) && !completed.Any(m => m.GaTechId == students[i].GaTechId && courses[j].ID == m.Course_ID))
{
GRBLinExpr constStudentDesiredCourses = 0.0;
for (int k = 0; k < sems.Length; k++)
{
if (crssems.Any(m => m.Course.ID == courses[j].ID && m.Semester.Type == sems[k].Type && m.Semester.Year == sems[k].Year))
constStudentDesiredCourses.AddTerm(1.0, CourseAllocation[i, j, k]);
}
String sStudentDesiredCourses = "DesiredCourse." + j + 1 + "_Student." + i + 1;
model.AddConstr(constStudentDesiredCourses == 1, sStudentDesiredCourses);
}
}
//MAX COURSES PER SEMESTER
//Constrains the students to only have a maximum number of 2 courses per semester.
for (int k = 0; k < sems.Length; k++)
{
GRBLinExpr constMaxPerSem = 0.0;
for (int j = 0; j < courses.Length; j++)
{
if (!completed.Any(m => m.GaTechId == students[i].GaTechId && courses[j].ID == m.Course_ID) && (crssems.Any(m => m.Course.ID == courses[j].ID && m.Semester.Type == sems[k].Type && m.Semester.Year == sems[k].Year)))
constMaxPerSem.AddTerm(1, CourseAllocation[i, j, k]);
}
String sCourseSem = "maxCourseStudent." + i + 1 + "_Semester." + k + 1;
model.AddConstr(constMaxPerSem <= MAX_COURSES_PER_SEMESTER, sCourseSem);
}
//PREREQUISITES
//Constrains the students to take prerequisite courses prior to taking a course that needs the prerequisite
for (int j = 0; j < courses.Length; j++)
{
if (courses[j].Prerequisites.Any() && students[i].Courses.Contains(courses[j]) && !completed.Any(m => m.GaTechId == students[i].GaTechId && courses[j].ID == m.Course_ID))
{
foreach (var prereq in courses[j].Prerequisites)
{
int prereqIndex = Array.IndexOf(courses, prereq);
GRBLinExpr coursePrereqConst1 = 0.0;
GRBLinExpr coursePrereqConst2 = 0.0;
if (!completed.Any(m => m.GaTechId == students[i].GaTechId && m.Course.ID == prereq.ID))
{
for (int k = 0; k < sems.Length; k++)
{
if (prereqIndex >= 0)
{
coursePrereqConst1.AddTerm(k + 1, CourseAllocation[i, prereqIndex, k]);
coursePrereqConst2.AddTerm(k, CourseAllocation[i, j, k]);
}
}
}
model.AddConstr(coursePrereqConst1, GRB.LESS_EQUAL, coursePrereqConst2, "PREREQ_Student" + i + "_Course+" + j + "_Prereq" + prereqIndex);
}
}
}
}
//SENIORITY
//Students are already ordered from dB query by seniority in descending order and puts a preference to senior students over the next student that desires that
//same course with less seniority.
for (int j = 0; j < courses.Length; j++)
{
for (int i = 0; i < students.Length - 1; i++)
{
if (students[i].Courses.Contains(courses[j]) && !completed.Any(m => m.GaTechId == students[i].GaTechId && courses[j].ID == m.Course_ID))
{
int SemsRemain = (students[i].Courses.Count - students[i].Student.CompletedCourses.Count) / 2 + (students[i].Courses.Count - students[i].Student.CompletedCourses.Count) % 2;
for (int n = i + 1; n < students.Length; n++)
{
if (students[n].Courses.Contains(courses[j]) && !completed.Any(m => m.GaTechId == students[n].GaTechId && courses[j].ID == m.Course_ID))
{
GRBLinExpr seniority = 0.0;
for (int k = 0; k < sems.Length; k++)
{
if (crssems.Any(m => m.Course.ID == courses[j].ID && m.Semester.Type == sems[k].Type && m.Semester.Year == sems[k].Year))
{
if (k <= SemsRemain)
{
seniority.AddTerm(1.0, CourseAllocation[i, j, k]);
seniority.AddTerm(-1.0, CourseAllocation[n, j, k]);
}
else
{
seniority.AddTerm(-1.0, CourseAllocation[i, j, k]);
seniority.AddTerm(1.0, CourseAllocation[n, j, k]);
}
}
}
model.AddConstr(seniority, GRB.GREATER_EQUAL, 0, "Seniority for Student." + students[i] + "_Course." + courses[j]);
break;
}
}
}
}
}
//Add the slack variable for all semester & course offerings then constrain the maximum number of students
//to take a couse in a semester.
for (int k = 0; k < sems.Length; k++)
{
for (int j = 0; j < courses.Length; j++)
{
if (crssems.Any(m => m.Course.ID == courses[j].ID && m.Semester.Type == sems[k].Type && m.Semester.Year == sems[k].Year))
{
slacks[j, k] = model.AddVar(0, GRB.INFINITY, 0, GRB.INTEGER, sems[k].Type.ToString() + "." + sems[k].Year.ToString() + "." + courses[j].Name + ".Slacks");
GRBLinExpr constMaxStudCrsSem = 0.0;
for (int i = 0; i < students.Length; i++)
{
if (!completed.Any(m => m.GaTechId == students[i].GaTechId && courses[j].ID == m.Course_ID))
constMaxStudCrsSem.AddTerm(1.0, CourseAllocation[i, j, k]);
}
model.Update();
constMaxStudCrsSem.AddTerm(-1.0, slacks[j, k]);
model.AddConstr(constMaxStudCrsSem <= crssems.Single(m => m.Course.ID == courses[j].ID && m.Semester.Type == sems[k].Type && m.Semester.Year == sems[k].Year).StudentLimit, sems[k].Type.ToString() + "." + sems[k].Year.ToString() + "." + courses[j].Name);
}
}
}
//Add total slack to the optimization model for all courses in the semesters they are offered.
GRBVar totSlack = model.AddVar(0, GRB.INFINITY, 0, GRB.INTEGER, "totSlack");
GRBLinExpr lhs = new GRBLinExpr();
lhs.AddTerm(-1.0, totSlack);
for (int j = 0; j < courses.Length; j++)
{
for (int k = 0; k < sems.Length; k++)
{
if (crssems.Any(m => m.Course.ID == courses[j].ID && m.Semester.Type == sems[k].Type && m.Semester.Year == sems[k].Year))
lhs.AddTerm(1.0, slacks[j, k]);
}
}
model.Update();
model.AddConstr(lhs, GRB.EQUAL, 0, "totSlack");
// Objective: minimize the total slack
GRBLinExpr obj = new GRBLinExpr();
obj.AddTerm(1.0, totSlack);
model.SetObjective(obj);
//Optimize the model to minimize the total slack and maximize students to course offerings based on input variables and constraints.
model.Optimize();
//Write Results optimization results to database
writeResults(CourseAllocation, students, courses, sems, crssems, dbConn, Convert.ToInt32(model.Get(GRB.DoubleAttr.ObjVal)), RunName);
//Clean-Up
model.Dispose();
env.Dispose();
}
catch (Exception e)
{
return Request.CreateErrorResponse(HttpStatusCode.InternalServerError, "An Error occured while running the optimization.");
}
}
return Request.CreateResponse(HttpStatusCode.OK);
}
public static void Main(String[] args)
{
if (args.Length < 1) {
Console.WriteLine("Usage: tsp_cs nnodes");
return;
}
int n = Convert.ToInt32(args[0]);
try {
GRBEnv env = new GRBEnv();
GRBModel model = new GRBModel(env);
// Must disable dual reductions when using lazy constraints
model.GetEnv().Set(GRB.IntParam.DualReductions, 0);
double[] x = new double[n];
double[] y = new double[n];
Random r = new Random();
for (int i = 0; i < n; i++) {
x[i] = r.NextDouble();
y[i] = r.NextDouble();
}
// Create variables
GRBVar[,] vars = new GRBVar[n, n];
for (int i = 0; i < n; i++)
for (int j = 0; j < n; j++)
vars[i, j] = model.AddVar(0.0, 1.0, distance(x, y, i, j),
GRB.BINARY, "x"+i+"_"+j);
// Integrate variables
model.Update();
// Degree-2 constraints
for (int i = 0; i < n; i++) {
GRBLinExpr expr = 0;
for (int j = 0; j < n; j++)
expr += vars[i, j];
model.AddConstr(expr == 2.0, "deg2_"+i);
}
// Forbid edge from node back to itself
for (int i = 0; i < n; i++)
vars[i, i].Set(GRB.DoubleAttr.UB, 0.0);
// Symmetric TSP
for (int i = 0; i < n; i++)
for (int j = 0; j < i; j++)
model.AddConstr(vars[i, j]== vars[j, i], "");
model.SetCallback(new tsp_cs(vars));
model.Optimize();
if (model.Get(GRB.IntAttr.SolCount) > 0) {
int[] tour = findsubtour(model.Get(GRB.DoubleAttr.X, vars));
Console.Write("Tour: ");
for (int i = 0; i < tour.Length; i++)
Console.Write(tour[i] + " ");
Console.WriteLine();
}
// Dispose of model and environment
model.Dispose();
env.Dispose();
} catch (GRBException e) {
Console.WriteLine("Error code: " + e.ErrorCode + ". " + e.Message);
Console.WriteLine(e.StackTrace);
}
}
static void Main(string[] args)
{
int n = 9;
int s = 3;
if (args.Length < 1) {
Console.Out.WriteLine("Usage: sudoku_cs filename");
return;
}
try {
GRBEnv env = new GRBEnv();
GRBModel model = new GRBModel(env);
// Create 3-D array of model variables
GRBVar[,,] vars = new GRBVar[n,n,n];
for (int i = 0; i < n; i++) {
for (int j = 0; j < n; j++) {
for (int v = 0; v < n; v++) {
string st = "G_" + i.ToString() + "_" + j.ToString()
+ "_" + v.ToString();
vars[i,j,v] = model.AddVar(0.0, 1.0, 0.0, GRB.BINARY, st);
}
}
}
// Integrate variables into model
model.Update();
// Add constraints
GRBLinExpr expr;
// Each cell must take one value
for (int i = 0; i < n; i++) {
for (int j = 0; j < n; j++) {
expr = 0.0;
for (int v = 0; v < n; v++)
expr += vars[i,j,v];
string st = "V_" + i.ToString() + "_" + j.ToString();
model.AddConstr(expr == 1.0, st);
}
}
// Each value appears once per row
for (int i = 0; i < n; i++) {
for (int v = 0; v < n; v++) {
expr = 0.0;
for (int j = 0; j < n; j++)
expr += vars[i,j,v];
string st = "R_" + i.ToString() + "_" + v.ToString();
model.AddConstr(expr == 1.0, st);
}
}
// Each value appears once per column
for (int j = 0; j < n; j++) {
for (int v = 0; v < n; v++) {
expr = 0.0;
for (int i = 0; i < n; i++)
expr += vars[i,j,v];
string st = "C_" + j.ToString() + "_" + v.ToString();
model.AddConstr(expr == 1.0, st);
}
}
// Each value appears once per sub-grid
for (int v = 0; v < n; v++) {
for (int i0 = 0; i0 < s; i0++) {
for (int j0 = 0; j0 < s; j0++) {
expr = 0.0;
for (int i1 = 0; i1 < s; i1++) {
for (int j1 = 0; j1 < s; j1++) {
expr += vars[i0*s+i1,j0*s+j1,v];
}
}
string st = "Sub_" + v.ToString() + "_" + i0.ToString()
+ "_" + j0.ToString();
model.AddConstr(expr == 1.0, st);
}
}
}
// Update model
model.Update();
// Fix variables associated with pre-specified cells
StreamReader sr = File.OpenText(args[0]);
for (int i = 0; i < n; i++) {
string input = sr.ReadLine();
for (int j = 0; j < n; j++) {
int val = (int) input[j] - 48 - 1; // 0-based
if (val >= 0)
vars[i,j,val].Set(GRB.DoubleAttr.LB, 1.0);
}
}
// Optimize model
model.Optimize();
// Write model to file
model.Write("sudoku.lp");
double[,,] x = model.Get(GRB.DoubleAttr.X, vars);
Console.WriteLine();
for (int i = 0; i < n; i++) {
for (int j = 0; j < n; j++) {
for (int v = 0; v < n; v++) {
if (x[i,j,v] > 0.5) {
Console.Write(v+1);
}
}
}
Console.WriteLine();
}
// Dispose of model and env
model.Dispose();
env.Dispose();
} catch (GRBException e) {
Console.WriteLine("Error code: " + e.ErrorCode + ". " + e.Message);
}
}
public GurobiSolver4(Crossword crossword)
{
var wordLengthHistogram = new Dictionary <int, double>()
{
{ 2, 0 },
{ 3, 18 },
{ 4, 24 },
{ 5, 20 },
{ 6, 18 },
{ 7, 12 },
{ 8, 4 },
{ 9, 1 },
{ 10, 1 },
{ 11, 1 },
{ 12, 1 },
{ 13, 0 },
{ 14, 0 },
{ 15, 0 },
};
const int maxWordLength = 15;
const int minWordLength = 2;
int sizeY = crossword.Grid.GetLength(0);
int sizeX = crossword.Grid.GetLength(1);
var requiredAmountOfLetters = wordLengthHistogram.Sum(wl => wl.Key * wl.Value) / 1.8d;
int totalFields = sizeX * sizeY;
for (int y = 0; y < sizeY; y++)
{
for (int x = 0; x < sizeX; x++)
{
totalFields -= crossword.Grid[y, x] is Blocked ? 1 : 0;
}
}
int amountQuestions = (int)Math.Round(0.22 * totalFields);
var wordLengthRatio = requiredAmountOfLetters / (totalFields - amountQuestions);
GRBEnv env = new GRBEnv();
GRBModel m = new GRBModel(env);
m.GetEnv().Method = 0;
// 0 = letter, 1 = question
GRBVar[,] fields = new GRBVar[sizeY, sizeX];
// 0 = right, 1 = down
GRBVar[,] questionType = new GRBVar[sizeY, sizeX];
// 0 = Down, then right
// 1 = Left, then down
// 2 = Right, then down
// 3 = Up, then right
// Mostly null, except for places down and right of a blocked field or y==0 or x==0
GRBVar[,,] specialQuestionType = new GRBVar[sizeY, sizeX, 4];
var specialQuestionUsed = new GRBLinExpr[sizeY, sizeX];
for (int y = 0; y < sizeY; y++)
{
for (int x = 0; x < sizeX; x++)
{
// create a var for every non-blocked field
if (!(crossword.Grid[y, x] is Blocked))
{
fields[y, x] = m.AddVar(0, 1, 0, GRB.BINARY, "Field" + y + "_" + x);
questionType[y, x] = m.AddVar(0, 1, 0, GRB.BINARY, "QType" + y + "_" + x);
// Is null except for places down and right of a blocked field or y==0 or x==0
if (y == 0 || x == 0 || crossword.Grid[y - 1, x] is Blocked || crossword.Grid[y, x - 1] is Blocked)
{
for (int t = 0; t < 4; t++)
{
specialQuestionType[y, x, t] = m.AddVar(0, 1, 0, GRB.BINARY, "SpecialQType" + t + "_" + y + "_" + x);
}
specialQuestionUsed[y, x] = specialQuestionType[y, x, 0] + specialQuestionType[y, x, 1] + specialQuestionType[y, x, 2] + specialQuestionType[y, x, 3];
// Max 1 special type, can also be no special question
m.AddConstr(specialQuestionUsed[y, x] <= 1, "MaxOneSpecialQuestion" + y + "_" + x);
}
}
}
}
// TEST
//m.AddConstr(specialQuestionType[0, 0, 0] == 1);
GRBLinExpr allFieldsSum = new GRBLinExpr();
for (int y = 0; y < sizeY; y++)
{
for (int x = 0; x < sizeX; x++)
{
if (crossword.Grid[y, x] is Blocked)
{
continue;
}
allFieldsSum += fields[y, x];
bool noQuestionToTheRightAllowed = false;
bool noQuestionTowardsDownAllowed = false;
if (x + minWordLength < sizeX && !crossword.HasBlock(y, x, y, x + minWordLength))
{
// for right: if [0,0] is question, [0,1..3] must not be question
var totalQuestionsHorizontal = fields.SumRange(y, x + 1, y, x + minWordLength);
var isQuestionAndPointsRight = fields[y, x] + (1 - questionType[y, x]) - 1;
if ((object)specialQuestionUsed[y, x] != null)
{
isQuestionAndPointsRight += (1 - specialQuestionUsed[y, x]) - 1;
}
for (int len = 1; len <= minWordLength; len++)
{
m.AddConstr(isQuestionAndPointsRight <= 1 - fields[y, x + len], "MinWordLength3" + y + "_" + x + "_right" + len);
}
}
else
{
noQuestionToTheRightAllowed = true;
}
// for down:
if (y + minWordLength < sizeY && !crossword.HasBlock(y, x, y + minWordLength, x))
{
var totalQuestionsVertical = fields.SumRange(y + 1, x, y + minWordLength, x);
var isQuestionAndPointsDown = fields[y, x] + questionType[y, x] - 1;
if ((object)specialQuestionUsed[y, x] != null)
{
isQuestionAndPointsDown += (1 - specialQuestionUsed[y, x]) - 1;
}
for (int len = 1; len <= minWordLength; len++)
{
m.AddConstr(isQuestionAndPointsDown <= 1 - fields[y + len, x], "MinWordLength3" + y + "_" + x + "_down" + len);
}
}
else
{
noQuestionTowardsDownAllowed = true;
}
bool atLeastOneSpecialAllowed = false;
if ((object)specialQuestionUsed[y, x] != null)
{
// down, then right
if (y + 1 < sizeY && x + minWordLength - 1 < sizeX && !crossword.HasBlock(y + 1, x, y + 1, x + minWordLength - 1))
{
for (int len = 1; len <= minWordLength; len++)
{
m.AddConstr(fields[y, x] + specialQuestionType[y, x, 0] - 1 <= 1 - fields[y + 1, x + len - 1], "MinWordLength3" + y + "_" + x + "_downRight" + len);
}
if (x > 0)
{
m.AddConstr(fields[y, x] + specialQuestionType[y, x, 0] - 1 <= fields[y + 1, x - 1], "QuestionBeforeSQ" + y + "_" + x + "_downRight");
}
atLeastOneSpecialAllowed = true;
}
else
{
m.AddConstr(specialQuestionType[y, x, 0] == 0, "NoSpecialQuestionAllowed" + y + "_" + x + "_downRight");
}
// left, then down
if (y + minWordLength - 1 < sizeY && x - 1 >= 0 && !crossword.HasBlock(y, x - 1, y + minWordLength - 1, x - 1))
{
for (int len = 1; len <= minWordLength; len++)
{
m.AddConstr(fields[y, x] + specialQuestionType[y, x, 1] - 1 <= 1 - fields[y + len - 1, x - 1], "MinWordLength3" + y + "_" + x + "_leftDown" + len);
}
if (y > 0)
{
m.AddConstr(fields[y, x] + specialQuestionType[y, x, 1] - 1 <= fields[y - 1, x - 1], "QuestionBeforeSQ" + y + "_" + x + "_leftDown");
}
atLeastOneSpecialAllowed = true;
}
else
{
m.AddConstr(specialQuestionType[y, x, 1] == 0, "NoSpecialQuestionAllowed" + y + "_" + x + "_leftDown");
}
// right, then down
if (y + minWordLength - 1 < sizeY && x + 1 < sizeX && !crossword.HasBlock(y, x + 1, y + minWordLength - 1, x + 1))
{
for (int len = 1; len <= minWordLength; len++)
{
m.AddConstr(fields[y, x] + specialQuestionType[y, x, 2] - 1 <= 1 - fields[y + len - 1, x + 1], "MinWordLength3" + y + "_" + x + "_rightDown" + len);
}
if (y > 0)
{
m.AddConstr(fields[y, x] + specialQuestionType[y, x, 2] - 1 <= fields[y - 1, x + 1], "QuestionBeforeSQ" + y + "_" + x + "_rightDown");
}
atLeastOneSpecialAllowed = true;
}
else
{
m.AddConstr(specialQuestionType[y, x, 2] == 0, "NoSpecialQuestionAllowed" + y + "_" + x + "_rightDown");
}
// up, then right
if (y - 1 >= 0 && x + minWordLength - 1 < sizeX && !crossword.HasBlock(y - 1, x, y - 1, x + minWordLength - 1))
{
for (int len = 1; len <= minWordLength; len++)
{
m.AddConstr(fields[y, x] + specialQuestionType[y, x, 3] - 1 <= 1 - fields[y - 1, x + len - 1], "MinWordLength3" + y + "_" + x + "_upRight" + len);
}
if (x > 0)
{
m.AddConstr(fields[y, x] + specialQuestionType[y, x, 3] - 1 <= fields[y - 1, x - 1], "QuestionBeforeSQ" + y + "_" + x + "_upRight");
}
atLeastOneSpecialAllowed = true;
}
else
{
m.AddConstr(specialQuestionType[y, x, 3] == 0, "NoSpecialQuestionAllowed" + y + "_" + x + "_upRight");
}
if (!atLeastOneSpecialAllowed)
{
m.AddConstr(specialQuestionUsed[y, x] == 0, "NoSpecialQuestionAllowedAtALl" + y + "_" + x);
}
}
if (noQuestionToTheRightAllowed && noQuestionTowardsDownAllowed)
{
if (!atLeastOneSpecialAllowed)
{
m.AddConstr(fields[y, x] == 0, "NoQuestionAllowed" + y + "_" + x);
}
else
{
m.AddConstr(specialQuestionUsed[y, x] == 1, "OnlySpecialQuestionAllowed" + y + "_" + x);
}
}
else
{
if (noQuestionToTheRightAllowed)
{
m.AddConstr(questionType[y, x] == 1, "QuestionCantPointRight" + y + "_" + x);
}
if (noQuestionTowardsDownAllowed)
{
m.AddConstr(questionType[y, x] == 0, "QuestionCantPointDown" + y + "_" + x);
}
}
// max word length constraints
// for right: if [0,0] is question, [0,1..maxLength+1] must have at least another question field
if (x + maxWordLength + 1 < sizeX && !crossword.HasBlock(y, x, y, x + maxWordLength + 1))
{
var allHorizontalFields = new GRBLinExpr();
for (int xi = 1; xi <= maxWordLength + 1; xi++)
{
allHorizontalFields += fields[y, x + xi];
}
if ((object)specialQuestionUsed[y, x] != null)
{
m.AddConstr(fields[y, x] + (1 - questionType[y, x]) + (1 - specialQuestionUsed[y, x]) - 2 <= allHorizontalFields, "MaxLengthHorizontal" + y + "_" + x);
}
else
{
m.AddConstr(fields[y, x] + (1 - questionType[y, x]) - 1 <= allHorizontalFields, "MaxLengthHorizontal" + y + "_" + x);
}
}
// for down:
if (y + maxWordLength + 1 < sizeY && !crossword.HasBlock(y, x, y + maxWordLength + 1, x))
{
var fieldsSum = fields.SumRange(y + 1, x, y + maxWordLength + 1, x);
if ((object)specialQuestionUsed[y, x] != null)
{
m.AddConstr(fields[y, x] + questionType[y, x] + (1 - specialQuestionUsed[y, x]) - 2 <= fieldsSum, "MaxLengthVertical" + y + "_" + x);
}
else
{
m.AddConstr(fields[y, x] + questionType[y, x] - 1 <= fieldsSum, "MaxLengthVertical" + y + "_" + x);
}
}
if ((object)specialQuestionUsed[y, x] != null)
{
// down, then right
if (y + 1 < sizeY && x + maxWordLength < sizeX && !crossword.HasBlock(y + 1, x, y + 1, x + maxWordLength))
{
var fieldsSum = fields.SumRange(y + 1, x, y + 1, x + maxWordLength);
m.AddConstr(fields[y, x] + specialQuestionType[y, x, 0] - 1 <= fieldsSum, "MaxLengthSpecialQuestion0_" + y + "_" + x);
// if there is a normal field to the left of the word, it has to be a question
if (x - 1 >= 0 && !crossword.HasBlock(y + 1, x - 1))
{
m.AddConstr(fields[y, x] + specialQuestionType[y, x, 0] - 1 <= fields[y + 1, x - 1], "QuestionRequiredBeforeSpecialQuestion0Word_" + y + "_" + x);
}
}
// left, then down
if (y + maxWordLength < sizeY && x - 1 >= 0 && !crossword.HasBlock(y, x - 1, y + maxWordLength, x - 1))
{
var fieldsSum = fields.SumRange(y, x - 1, y + maxWordLength, x - 1);
m.AddConstr(fields[y, x] + specialQuestionType[y, x, 1] - 1 <= fieldsSum, "MaxLengthSpecialQuestion1_" + y + "_" + x);
if (y - 1 >= 0 && !crossword.HasBlock(y - 1, x - 1))
{
m.AddConstr(fields[y, x] + specialQuestionType[y, x, 0] - 1 <= fields[y - 1, x - 1], "QuestionRequiredBeforeSpecialQuestion1Word_" + y + "_" + x);
}
}
// right, then down
if (y + maxWordLength < sizeY && x + 1 < sizeX && !crossword.HasBlock(y, x + 1, y + maxWordLength, x + 1))
{
var fieldsSum = fields.SumRange(y, x + 1, y + maxWordLength, x + 1);
m.AddConstr(fields[y, x] + specialQuestionType[y, x, 2] - 1 <= fieldsSum, "MaxLengthSpecialQuestion2_" + y + "_" + x);
if (y - 1 >= 0 && !crossword.HasBlock(y - 1, x + 1))
{
m.AddConstr(fields[y, x] + specialQuestionType[y, x, 0] - 1 <= fields[y - 1, x + 1], "QuestionRequiredBeforeSpecialQuestion2Word_" + y + "_" + x);
}
}
// up, then right
if (y - 1 >= 0 && x + maxWordLength < sizeX && !crossword.HasBlock(y - 1, x, y - 1, x + maxWordLength))
{
var fieldsSum = fields.SumRange(y - 1, x, y - 1, x + maxWordLength);
m.AddConstr(fields[y, x] + specialQuestionType[y, x, 3] - 1 <= fieldsSum, "MaxLengthSpecialQuestion3_" + y + "_" + x);
if (x - 1 >= 0 && !crossword.HasBlock(y - 1, x - 1))
{
m.AddConstr(fields[y, x] + specialQuestionType[y, x, 0] - 1 <= fields[y - 1, x - 1], "QuestionRequiredBeforeSpecialQuestion3Word_" + y + "_" + x);
}
}
}
}
}
// Does a field belong to zero, one or two questions?
var partOfAWord = new GRBLinExpr[sizeY, sizeX, 6];
for (int y = 0; y < sizeY; y++)
{
for (int x = 0; x < sizeX; x++)
{
// this constraint doesn't work for [0,0]
if (crossword.HasBlock(y, x))
{
continue;
}
// Is this field attached to a question on the left, pointing right?
var attachedToHorizontalQuestion = m.AddVar(0, 1, 0, GRB.BINARY, "attachedToHorizontalQuestion" + y + "_" + x);
for (int len = 1; len <= maxWordLength; len++)
{
if (x - len < 0 || crossword.HasBlock(y, x - len, y, x))
{
continue;
}
var isQuestionAndPointsRight = fields[y, x - len] + (1 - questionType[y, x - len]);
if ((object)specialQuestionUsed[y, x - len] != null)
{
isQuestionAndPointsRight += (1 - specialQuestionUsed[y, x - len]) - 1;
}
var questionsInbetween = fields.SumRange(y, x - len + 1, y, x);
m.AddConstr(attachedToHorizontalQuestion >= isQuestionAndPointsRight - 1 - questionsInbetween, "attachedToHorizontalQuestionConstraint0_" + y + "_" + x);
// 0 IF first question is not pointing right OR there is no question to the left
// firstQuestion ==> total fields < 2
if ((object)specialQuestionUsed[y, x - len] != null)
{
m.AddConstr(attachedToHorizontalQuestion <= questionsInbetween + (1 - fields[y, x - len]) + 1 - (questionType[y, x - len] + specialQuestionUsed[y, x - len]) * 0.5, "attachedToHorizontalQuestionConstraint1_" + y + "_" + x); // the first question but DOESNT look right
}
else
{
m.AddConstr(attachedToHorizontalQuestion <= questionsInbetween + (1 - fields[y, x - len]) + 1 - questionType[y, x - len], "attachedToHorizontalQuestionConstraint2_" + y + "_" + x); // the first question but DOESNT look right
}
}
var questionsToTheLeft = new GRBLinExpr();
int qlCount = 0;
for (int len = 0; len <= maxWordLength; len++)
{
if (x - len < 0 || crossword.HasBlock(y, x - len, y, x))
{
continue;
}
questionsToTheLeft += fields[y, x - len];
qlCount++;
}
if (qlCount > 0)
{
m.AddConstr(attachedToHorizontalQuestion <= questionsToTheLeft, "attachedToHorizontalQuestionConstraint4_" + y + "_" + x);
}
// Is this field attached to a question pointing towards down?
var attachedToVerticalQuestion = m.AddVar(0, 1, 0, GRB.BINARY, "attachedToVerticalQuestion" + y + "_" + x);
for (int len = 1; len <= maxWordLength; len++)
{
if (y - len < 0 || crossword.HasBlock(y - len, x, y, x))
{
continue;
}
var isQuestionAndPointsDown = fields[y - len, x] + questionType[y - len, x];
if ((object)specialQuestionUsed[y - len, x] != null)
{
isQuestionAndPointsDown += (1 - specialQuestionUsed[y - len, x]) - 1;
}
var questionsInbetween = fields.SumRange(y - len + 1, x, y, x);
m.AddConstr(attachedToVerticalQuestion >= isQuestionAndPointsDown - 1 - questionsInbetween, "attachedToVerticalQuestionConstraint0_" + y + "_" + x);
if ((object)specialQuestionUsed[y - len, x] != null)
{
m.AddConstr(attachedToVerticalQuestion <= questionsInbetween + (1 - fields[y - len, x]) + 1 - (1 - questionType[y - len, x] + specialQuestionUsed[y - len, x]) * 0.5, "attachedToVerticalQuestionConstraint1_" + y + "_" + x); // the first question but DOESNT look down OR IS specialquestion
}
else
{
m.AddConstr(attachedToVerticalQuestion <= questionsInbetween + (1 - fields[y - len, x]) + 1 - (1 - questionType[y - len, x]), "attachedToVerticalQuestionConstraint2_" + y + "_" + x); // the first question but DOESNT look down OR IS specialquestion
}
}
var questionsTowardsDown = new GRBLinExpr();
int qdCount = 0;
for (int len = 0; len <= maxWordLength; len++)
{
if (y - len < 0 || crossword.HasBlock(y - len, x, y, x))
{
continue;
}
questionsTowardsDown += fields[y - len, x];
qdCount++;
}
if (qdCount > 0)
{
m.AddConstr(attachedToVerticalQuestion <= questionsTowardsDown, "attachedToVerticalQuestionConstraint3_" + y + "_" + x);
}
var attachedToSpecialQuestions = new GRBLinExpr[4];
var spAll = new GRBLinExpr();
for (int type = 0; type < 4; type++)
{
attachedToSpecialQuestions[type] = AttachedToSpecialQuestion(y, x, type, crossword, m, sizeX, sizeY, maxWordLength, fields, specialQuestionUsed, specialQuestionType);
if ((object)attachedToSpecialQuestions[type] != null)
{
spAll += attachedToSpecialQuestions[type];
}
}
// if attached to horizontal question, can't be attached to horizontal sq (0, 3)
if ((object)attachedToSpecialQuestions[0] != null)
{
m.AddConstr((1 - attachedToHorizontalQuestion) >= attachedToSpecialQuestions[0], "noHorizontalOverlap1_" + y + "_" + x);
}
if ((object)attachedToSpecialQuestions[3] != null)
{
m.AddConstr((1 - attachedToHorizontalQuestion) >= attachedToSpecialQuestions[3], "noHorizontalOverlap2_" + y + "_" + x);
}
// give preference to one horizontal kind of sq
if ((object)attachedToSpecialQuestions[0] != null && (object)attachedToSpecialQuestions[3] != null)
{
m.AddConstr((1 - attachedToSpecialQuestions[0]) >= attachedToSpecialQuestions[3], "noHorizontalOverlap3_" + y + "_" + x);
}
// if attached to vertical question, can't be attached to vertical sq (1, 2)
if ((object)attachedToSpecialQuestions[1] != null)
{
m.AddConstr((1 - attachedToVerticalQuestion) >= attachedToSpecialQuestions[1], "noVerticalOverlap1_" + y + "_" + x);
}
if ((object)attachedToSpecialQuestions[2] != null)
{
m.AddConstr((1 - attachedToVerticalQuestion) >= attachedToSpecialQuestions[2], "noVerticalOverlap2_" + y + "_" + x);
}
// give preference to one horizontal kind of sq
if ((object)attachedToSpecialQuestions[1] != null && (object)attachedToSpecialQuestions[2] != null)
{
m.AddConstr((1 - attachedToSpecialQuestions[1]) >= attachedToSpecialQuestions[2], "noVerticalOverlap3_" + y + "_" + x);
}
var c = m.AddConstr(attachedToHorizontalQuestion + attachedToVerticalQuestion + spAll >= 1 - fields[y, x], "AttachedToQuestionConstraint_" + y + "_" + x);
//c.Lazy = 1;
partOfAWord[y, x, 0] = attachedToHorizontalQuestion;
partOfAWord[y, x, 1] = attachedToVerticalQuestion;
partOfAWord[y, x, 2] = attachedToSpecialQuestions[0];
partOfAWord[y, x, 3] = attachedToSpecialQuestions[1];
partOfAWord[y, x, 4] = attachedToSpecialQuestions[2];
partOfAWord[y, x, 5] = attachedToSpecialQuestions[3];
}
}
// right now, [0,0] can only be a question
//if (!crossword.HasBlock(0, 0)) m.AddConstr(fields[0, 0] == 1);
// and similarly the bottom 3x3 can only be letters
for (int y = sizeY - minWordLength; y < sizeY; y++)
{
for (int x = sizeX - minWordLength; x < sizeX; x++)
{
if (!crossword.HasBlock(y, x))
{
m.AddConstr(fields[y, x] == 0, "BottomOnlyLetters_" + y + "_" + x);
}
}
}
// Objective:
// questions should be around ~22% (allFieldsSum ~= amountQuestions)
/*int tolerance = (int)(amountQuestions * 0.1);
* m.AddConstr(allFieldsSum >= amountQuestions - tolerance, "amountOfQuestionsTolerance_1");
* m.AddConstr(allFieldsSum <= amountQuestions + tolerance, "amountOfQuestionsTolerance_2");*/
m.AddConstr(allFieldsSum == amountQuestions);
// uncrossed
var partOfWordTotals = new GRBLinExpr[sizeY, sizeX];
for (int y = 0; y < sizeY; y++)
{
for (int x = 0; x < sizeX; x++)
{
if (!crossword.HasBlock(y, x)) //(x >= 1 || y >= 1) &&
{
var partOfWordTotal = new GRBLinExpr();
for (int t = 0; t < 6; t++)
{
if ((object)partOfAWord[y, x, t] != null)
{
partOfWordTotal += partOfAWord[y, x, t];
}
}
partOfWordTotals[y, x] = partOfWordTotal;
}
}
}
for (int y = 0; y < sizeY - 1; y++)
{
for (int x = 0; x < sizeX - 1; x++)
{
if (!crossword.HasBlock(y, x)) //(x >= 1 || y >= 1) &&
{
if (!crossword.HasBlock(y + 1, x))
{
m.AddConstr(partOfWordTotals[y, x] + partOfWordTotals[y + 1, x] >= (1 - fields[y, x] - fields[y + 1, x]) * 3, "noUncrossedFields" + y + "_" + x);
}
if (!crossword.HasBlock(y, x + 1))
{
m.AddConstr(partOfWordTotals[y, x] + partOfWordTotals[y, x + 1] >= (1 - fields[y, x] - fields[y, x + 1]) * 3, "noUncrossedFields" + y + "_" + x);
}
}
}
}
// penalty for nearby uncrossed letters (dead fields)
/*var deadFieldPenalty = new GRBLinExpr();
* for (int y = 0; y < sizeY; y++)
* {
* for (int x = 0; x < sizeX; x++)
* {
* var hby = y - 1 >= 0 && !crossword.HasBlock(y - 1, x);
* var hbx = x - 1 >= 0 && !crossword.HasBlock(y, x - 1);
* if (!crossword.HasBlock(y, x) && (hby || hbx))
* {
* var isDeadArea = m.AddVar(0, 1, 0, GRB.BINARY, "isDeadArea" + y + "_" + x);
* if (hby) m.AddConstr(isDeadArea >= uncrossedLetters[y, x] + uncrossedLetters[y - 1, x] - 1, "deadAreaConstr1" + y + "_" + x);
* if (hbx) m.AddConstr(isDeadArea >= uncrossedLetters[y, x] + uncrossedLetters[y, x - 1] - 1, "deadAreaConstr2" + y + "_" + x);
* m.AddConstr(isDeadArea <= uncrossedLetters[y, x]);
* if (hby && hbx)
* m.AddConstr(isDeadArea <= uncrossedLetters[y - 1, x] + uncrossedLetters[y, x - 1], "deadAreaConstr3" + y + "_" + x);
* else if (hby)
* m.AddConstr(isDeadArea <= uncrossedLetters[y - 1, x], "deadAreaConstr4" + y + "_" + x);
* else if (hbx)
* m.AddConstr(isDeadArea <= uncrossedLetters[y, x - 1], "deadAreaConstr5" + y + "_" + x);
* deadFieldPenalty += isDeadArea;
* }
* }
* }*/
// ideal histogram comparison
//var wordHistogramDifferences = new GRBLinExpr();
var wlTotals = new Dictionary <int, GRBLinExpr>();
foreach (var wl in wordLengthHistogram.Keys)
{
var total = new GRBLinExpr();
for (int y = 0; y + wl - 1 < sizeY; y++)
{
for (int x = 0; x < sizeX; x++)
{
if (crossword.HasBlock(y, x, y + wl - 1, x))
{
continue;
}
// true if field-1 is question or start AND field + wl (after word) is question or end
var hasLength = m.AddVar(0, 1, 0, GRB.BINARY, "hasLenVert" + wl + "__" + y + "_" + x);
var sum = fields.SumRange(y, x, y + wl - 1, x);
// no questions inbetween
for (int i = 0; i < wl; i++)
{
m.AddConstr(hasLength <= 1 - fields[y + i, x]);
}
// question at end
if (y + wl < sizeY && !crossword.HasBlock(y + wl, x))
{
sum += (1 - fields[y + wl, x]);
m.AddConstr(hasLength <= fields[y + wl, x]);
}
// question at start
if (y - 1 >= 0 && !crossword.HasBlock(y - 1, x))
{
sum += (1 - fields[y - 1, x]);
m.AddConstr(hasLength <= fields[y - 1, x]);
}
// counts if a letter is attached to a horizontal question
var qsum = new GRBLinExpr();
if ((object)partOfAWord[y, x, 1] != null)
{
qsum += partOfAWord[y, x, 1];
}
if ((object)partOfAWord[y, x, 3] != null)
{
qsum += partOfAWord[y, x, 3];
}
if ((object)partOfAWord[y, x, 4] != null)
{
qsum += partOfAWord[y, x, 4];
}
sum += 1 - qsum;
m.AddConstr(hasLength <= qsum);
m.AddConstr(hasLength >= 1 - sum);
total += hasLength;
}
}
for (int y = 0; y < sizeY; y++)
{
for (int x = 0; x + wl - 1 < sizeX; x++)
{
if (crossword.HasBlock(y, x, y, x + wl - 1))
{
continue;
}
var hasLength = m.AddVar(0, 1, 0, GRB.BINARY, "hasLenHoriz" + wl + "__" + y + "_" + x);
var sum = fields.SumRange(y, x, y, x + wl - 1);
// no questions inbetween
for (int i = 0; i < wl; i++)
{
m.AddConstr(hasLength <= 1 - fields[y, x + i]);
}
// question at end
if (x + wl < sizeX && !crossword.HasBlock(y, x + wl))
{
sum += (1 - fields[y, x + wl]);
m.AddConstr(hasLength <= fields[y, x + wl]);
}
// question at start
if (x - 1 >= 0 && !crossword.HasBlock(y, x - 1))
{
sum += (1 - fields[y, x - 1]);
m.AddConstr(hasLength <= fields[y, x - 1]);
}
// counts if a letter is attached to a horizontal question
var qsum = new GRBLinExpr();
if ((object)partOfAWord[y, x, 0] != null)
{
qsum += partOfAWord[y, x, 0];
}
if ((object)partOfAWord[y, x, 2] != null)
{
qsum += partOfAWord[y, x, 2];
}
if ((object)partOfAWord[y, x, 5] != null)
{
qsum += partOfAWord[y, x, 5];
}
sum += 1 - qsum;
m.AddConstr(hasLength <= qsum);
m.AddConstr(hasLength >= 1 - sum);
total += hasLength;
}
}
if (wl <= 9)
{
wlTotals.Add(wl, total);
}
else
{
wlTotals[9] += total;
}
}
var wlPenalty = new GRBLinExpr();
var wordCounts = m.AddVars(8, 0, amountQuestions * 2, GRB.INTEGER, "amount");
foreach (var wl in wlTotals.Keys)
{
var input = wordCounts[wl - 2];
m.AddConstr(input == wlTotals[wl]);
var absRes = m.AddVar(0, 100, 0, GRB.CONTINUOUS, "absRes");
Console.WriteLine(wl == 9 ? 4 : wordLengthHistogram[wl]);
var percentageDiff = input * (100d / amountQuestions) - (wl == 9 ? 4 : wordLengthHistogram[wl]);
m.AddConstr(percentageDiff <= absRes, "absPos");
m.AddConstr(-percentageDiff <= absRes, "absNeg");
wlPenalty += absRes;
}
wlPenalty *= (1d / 8);
// question field clusters
// in a field of 2x2, minimize the nr of fields where there are 2-4 questions resp. maximize 0-1 questions
//var clusterPenalty = new GRBLinExpr();
int area = 3;
for (int y = 0; y < sizeY - (area - 1); y++)
{
for (int x = 0; x < sizeX - (area - 1); x++)
{
var clusterTotal = new GRBLinExpr();
int ct = 0;
for (int i = 0; i < area; i++)
{
for (int j = 0; j < area; j++)
{
if (crossword.HasBlock(y + i, x + j) || (i == 1 && j == 1))
{
continue;
}
clusterTotal += fields[y + i, x + j];
ct++;
}
}
if (ct >= 2 && !crossword.HasBlock(y + 1, x + 1))
{
//var varClusterTotalPenalty = m.AddVar(0, 1, 0, GRB.BINARY, "varClusterTotalPenalty" + y + "_" + x);
// 0-1 = good, 2-4 = bad
m.AddConstr(clusterTotal - 1 <= (1 - fields[y + 1, x + 1]) * 8, "cluster" + y + "_" + x);
/*m.AddConstr(varClusterTotalPenalty <= clusterTotal * 0.5, "clusterPenaltyConstr1_" + y + "_" + x);
* m.AddConstr(varClusterTotalPenalty >= (clusterTotal - 1) * (1d / 3), "clusterPenaltyConstr2_" + y + "_" + x);
* clusterPenalty += varClusterTotalPenalty;*/
}
}
}
//m.AddConstr(deadFieldPenalty <= 30);
//amountOfQuestionsRating * (100d / sizeX / sizeY) + manyCrossedWords + + wordHistogramDifferences
// clusterPenalty * 100
m.SetObjective(wlPenalty, GRB.MINIMIZE);
m.SetCallback(new GRBMipSolCallback(crossword, fields, questionType, specialQuestionType, true, wordCounts));
// Insert previous solution
/*var cwdCheck = new Crossword(@"C:\Users\Roman Bolzern\Documents\GitHub\Crossword\docs\15x15_1_noDoubles.cwg");
* cwdCheck.Draw();
* for (int y = 0; y < cwdCheck.Grid.GetLength(0); y++)
* {
* for (int x = 0; x < cwdCheck.Grid.GetLength(1); x++)
* {
* if (cwdCheck.Grid[y, x] is Question)
* {
* m.AddConstr(fields[y, x] == 1);
* var q = (Question)cwdCheck.Grid[y, x];
* if (q.Arrow == Question.ArrowType.Right)
* {
* m.AddConstr(questionType[y, x] == 0);
* if ((object)specialQuestionType[y, x, 0] != null)
* m.AddConstr(specialQuestionType[y, x, 0] + specialQuestionType[y, x, 1] + specialQuestionType[y, x, 2] + specialQuestionType[y, x, 3] == 0);
* }
* else if (q.Arrow == Question.ArrowType.Down)
* {
* m.AddConstr(questionType[y, x] == 1);
* if ((object)specialQuestionType[y, x, 0] != null)
* m.AddConstr(specialQuestionType[y, x, 0] + specialQuestionType[y, x, 1] + specialQuestionType[y, x, 2] + specialQuestionType[y, x, 3] == 0);
* }
* else if (q.Arrow == Question.ArrowType.DownRight)
* {
* m.AddConstr(specialQuestionType[y, x, 0] == 1);
* }
* else if (q.Arrow == Question.ArrowType.LeftDown)
* {
* m.AddConstr(specialQuestionType[y, x, 1] == 1);
* }
* else if (q.Arrow == Question.ArrowType.RightDown)
* {
* m.AddConstr(specialQuestionType[y, x, 2] == 1);
* }
* else if (q.Arrow == Question.ArrowType.UpRight)
* {
* m.AddConstr(specialQuestionType[y, x, 3] == 1);
* }
* }
* else if (cwdCheck.Grid[y, x] is Letter)
* {
* m.AddConstr(fields[y, x] == 0);
* }
* }
* }*/
m.Optimize();
m.ComputeIIS();
m.Write("model.ilp");
m.Dispose();
env.Dispose();
}
public GRBVar AddToModel(GRBModel model)
{
return model.AddVar(lowerBound, upperBound, ObjectiveCoefficient, variableType, name);
}
static void Main()
{
try {
// Warehouse demand in thousands of units
double[] Demand = new double[] { 15, 18, 14, 20 };
// Plant capacity in thousands of units
double[] Capacity = new double[] { 20, 22, 17, 19, 18 };
// Fixed costs for each plant
double[] FixedCosts =
new double[] { 12000, 15000, 17000, 13000, 16000 };
// Transportation costs per thousand units
double[,] TransCosts =
new double[,] { { 4000, 2000, 3000, 2500, 4500 },
{ 2500, 2600, 3400, 3000, 4000 },
{ 1200, 1800, 2600, 4100, 3000 },
{ 2200, 2600, 3100, 3700, 3200 } };
// Number of plants and warehouses
int nPlants = Capacity.Length;
int nWarehouses = Demand.Length;
// Model
GRBEnv env = new GRBEnv();
GRBModel model = new GRBModel(env);
model.Set(GRB.StringAttr.ModelName, "facility");
// Plant open decision variables: open[p] == 1 if plant p is open.
GRBVar[] open = new GRBVar[nPlants];
for (int p = 0; p < nPlants; ++p) {
open[p] = model.AddVar(0, 1, FixedCosts[p], GRB.BINARY, "Open" + p);
}
// Transportation decision variables: how much to transport from
// a plant p to a warehouse w
GRBVar[,] transport = new GRBVar[nWarehouses,nPlants];
for (int w = 0; w < nWarehouses; ++w) {
for (int p = 0; p < nPlants; ++p) {
transport[w,p] =
model.AddVar(0, GRB.INFINITY, TransCosts[w,p], GRB.CONTINUOUS,
"Trans" + p + "." + w);
}
}
// The objective is to minimize the total fixed and variable costs
model.Set(GRB.IntAttr.ModelSense, 1);
// Update model to integrate new variables
model.Update();
// Production constraints
// Note that the right-hand limit sets the production to zero if
// the plant is closed
for (int p = 0; p < nPlants; ++p) {
GRBLinExpr ptot = 0.0;
for (int w = 0; w < nWarehouses; ++w)
ptot += transport[w,p];
model.AddConstr(ptot <= Capacity[p] * open[p], "Capacity" + p);
}
// Demand constraints
for (int w = 0; w < nWarehouses; ++w) {
GRBLinExpr dtot = 0.0;
for (int p = 0; p < nPlants; ++p)
dtot += transport[w,p];
model.AddConstr(dtot == Demand[w], "Demand" + w);
}
// Guess at the starting point: close the plant with the highest
// fixed costs; open all others
// First, open all plants
for (int p = 0; p < nPlants; ++p) {
open[p].Set(GRB.DoubleAttr.Start, 1.0);
}
// Now close the plant with the highest fixed cost
Console.WriteLine("Initial guess:");
double maxFixed = -GRB.INFINITY;
for (int p = 0; p < nPlants; ++p) {
if (FixedCosts[p] > maxFixed) {
maxFixed = FixedCosts[p];
}
}
for (int p = 0; p < nPlants; ++p) {
if (FixedCosts[p] == maxFixed) {
open[p].Set(GRB.DoubleAttr.Start, 0.0);
Console.WriteLine("Closing plant " + p + "\n");
break;
}
}
// Use barrier to solve root relaxation
model.GetEnv().Set(GRB.IntParam.Method, GRB.METHOD_BARRIER);
// Solve
model.Optimize();
// Print solution
Console.WriteLine("\nTOTAL COSTS: " + model.Get(GRB.DoubleAttr.ObjVal));
Console.WriteLine("SOLUTION:");
for (int p = 0; p < nPlants; ++p) {
if (open[p].Get(GRB.DoubleAttr.X) == 1.0) {
Console.WriteLine("Plant " + p + " open:");
for (int w = 0; w < nWarehouses; ++w) {
if (transport[w,p].Get(GRB.DoubleAttr.X) > 0.0001) {
Console.WriteLine(" Transport " +
transport[w,p].Get(GRB.DoubleAttr.X) +
" units to warehouse " + w);
}
}
} else {
Console.WriteLine("Plant " + p + " closed!");
}
}
// Dispose of model and env
model.Dispose();
env.Dispose();
} catch (GRBException e) {
Console.WriteLine("Error code: " + e.ErrorCode + ". " + e.Message);
}
}
