private void AddTargetFunction()
{
PrintDebugRessourcesBefore("AddTargetFunction");
var factory = new TargetFunctionFactory(solverData);
var targetFunction = new GLS.LinearExpr();
targetFunction += factory.CreateTargetFunction(TargetType.MinTime, WaytimeWeight);
targetFunction += factory.CreateTargetFunction(TargetType.TryVisitDesired, DesiredWeight);
solverData.Solver.Minimize(targetFunction);
// constraint target function based on presolved solution
if (solverData.Input.Presolved.Length > 0)
{
var totalTimePresolved = 0;
for (int i = 1; i < solverData.Input.Presolved.Length; i++)
{
totalTimePresolved += solverData.Input.VisitsDuration[Array.IndexOf(solverData.Input.VisitIds, solverData.Input.Presolved[i] - 1)];
totalTimePresolved += solverData.Input.Distances[i > 1 ? Array.IndexOf(solverData.Input.VisitIds, solverData.Input.Presolved[i - 1] - 1) : 0, Array.IndexOf(solverData.Input.VisitIds, solverData.Input.Presolved[i] - 1)];
}
totalTimePresolved += solverData.Input.Distances[Array.IndexOf(solverData.Input.VisitIds, solverData.Input.Presolved.Last() - 1), 0];
solver.Add(targetFunction <= totalTimePresolved * WaytimeWeight);
}
var minWayTime = solverData.Input.Distances.Cast <int>().Where(i => i > 0).Min();
solver.Add(targetFunction >= (minWayTime * (solverData.NumberOfVisits + 1) + solverData.Input.VisitsDuration.Sum()) * (WaytimeWeight - DesiredWeight));
PrintDebugRessourcesAfter();
}
public void Maximize(LinearExpr expr)
{
Objective().Clear();
Objective().SetMaximization();
Dictionary<Variable, double> coefficients =
new Dictionary<Variable, double>();
double constant = expr.Visit(coefficients);
foreach (KeyValuePair<Variable, double> pair in coefficients)
{
Objective().SetCoefficient(pair.Key, pair.Value);
}
Objective().SetOffset(constant);
}
public SumArray(LinearExpr[] array)
{
this.array_ = array;
}
public Sum(LinearExpr left, LinearExpr right)
{
this.left_ = left;
this.right_ = right;
}
public SumCst(LinearExpr expr, double coeff)
{
this.coeff_ = coeff;
this.expr_ = expr;
}
public ProductCst(LinearExpr expr, double coeff)
{
this.coeff_ = coeff;
this.expr_ = expr;
}
public Sum(LinearExpr left, LinearExpr right)
{
this.left_ = left;
this.right_ = right;
}
public SumCst(LinearExpr expr, double coeff)
{
this.coeff_ = coeff;
this.expr_ = expr;
}
public ProductCst(LinearExpr expr, double coeff)
{
this.coeff_ = coeff;
this.expr_ = expr;
}
public Equality(LinearExpr left, LinearExpr right, bool equality)
{
this.left_ = left;
this.right_ = right;
this.equality_ = equality;
}
public RangeConstraint(LinearExpr expr, double lb, double ub)
{
this.expr_ = expr;
this.lb_ = lb;
this.ub_ = ub;
}
static void TestSumArray()
{
Console.WriteLine("Running TestSumArray");
Solver solver = new Solver("TestSumArray", Solver.CLP_LINEAR_PROGRAMMING);
Variable[] x = solver.MakeBoolVarArray(10, "x");
Constraint ct1 = solver.Add(x.Sum() == 3);
CheckDoubleEq(ct1.GetCoefficient(x[0]), 1.0, "test1");
Constraint ct2 = solver.Add(-2 * x.Sum() == 3);
CheckDoubleEq(ct2.GetCoefficient(x[0]), -2.0, "test2");
LinearExpr[] array = new LinearExpr[] { x[0]+ 2.0, x[0] + 3, x[0] + 4 };
Constraint ct3 = solver.Add(array.Sum() == 1);
CheckDoubleEq(ct3.GetCoefficient(x[0]), 3.0, "test3");
CheckDoubleEq(ct3.Lb(), -8.0, "test4");
CheckDoubleEq(ct3.Ub(), -8.0, "test5");
}
public Equality(LinearExpr left, LinearExpr right, bool equality)
{
this.left_ = left;
this.right_ = right;
this.equality_ = equality;
}
public RangeConstraint(LinearExpr expr, double lb, double ub)
{
this.expr_ = expr;
this.lb_ = lb;
this.ub_ = ub;
}
