public bool RunSolver(List <Variable> variables, Func <IList <decimal>, double> evaluate, string preset, string expertsettings, string installFolder, string documentPath)
{
var settings = _presets[preset];
//System.Windows.Forms.MessageBox.Show(expertsettings); //use expertsettings to input custom solver parameters
var dvar = variables.Count;
var lb = new double[dvar];
var ub = new double[dvar];
var integer = new bool[dvar];
for (var i = 0; i < dvar; i++)
{
lb[i] = Convert.ToDouble(variables[i].LowerB);
ub[i] = Convert.ToDouble(variables[i].UpperB);
integer[i] = variables[i].Integer;
}
Func <double[], double> eval = x =>
{
var decis = x.Select(Convert.ToDecimal).ToList();
return(evaluate(decis));
};
try
{
var seed = (int)settings["seed"];
var stepsize = settings["stepsize"];
var itermax = (int)settings["itermax"];
var hc = new HillclimberAlgorithm(lb, ub, stepsize, itermax, eval, seed);
hc.Solve();
Xopt = hc.get_Xoptimum();
Fxopt = hc.get_fxoptimum();
return(true);
}
catch
{
return(false);
}
}
public bool RunSolver(List <Variable> variables, Func <IList <decimal>, double> evaluate, string preset, string expertsettings, string installFolder, string documentPath)
{
var settings = _presets[preset];
//System.Windows.Forms.MessageBox.Show(expertsettings); //use expertsettings to input custom solver parameters
int?seedin = null;
//string [] expsets = expertsettings.Split(';');
//foreach (string strexp in expsets)
//{
// string[] stre = strexp.Split('=');
// if(string.Equals(stre[0],"seed"))
// {
// seedin = Convert.ToInt16(stre[1]);
// }
//}
var random = new Random();
seedin = random.Next(-32768, 32767);
var dvar = variables.Count;
var lb = new double[dvar];
var ub = new double[dvar];
var integer = new bool[dvar];
for (var i = 0; i < dvar; i++)
{
lb[i] = Convert.ToDouble(variables[i].LowerB);
ub[i] = Convert.ToDouble(variables[i].UpperB);
integer[i] = variables[i].Integer;
}
Func <double[], double> eval = x =>
{
var decis = x.Select(Convert.ToDecimal).ToList();
return(evaluate(decis));
};
try
{
if (preset.Equals("SGA_n4_A") || preset.Equals("SGA_n4_B") || preset.Equals("SGA_n4_C") || preset.Equals("SGA_WW"))
{
Dictionary <string, object> GAsettings = new Dictionary <string, object>();
GAsettings.Add("maxgen", (int)settings["maxgen"]);
GAsettings.Add("popsize", (int)settings["popsize"]);
GAsettings.Add("k", settings["k"]);
GAsettings.Add("pcross", settings["pcross"]);
GAsettings.Add("pmut", settings["pmut"]);
GAsettings.Add("d", settings["d"]);
GAsettings.Add("r", settings["r"]);
GAsettings.Add("elite", settings["elite"]);
int seed;
if (seedin != null)
{
seed = Convert.ToInt16(seedin);
}
else
{
seed = (int)settings["seed"];
}
int itermax = (int)settings["itermax"];
var ga = new MetaheuristicsLibrary.SolversSO.SimpleGA(lb, ub, integer, itermax, eval, seed, GAsettings);
ga.solve();
Xopt = ga.get_Xoptimum();
Fxopt = ga.get_fxoptimum();
}
else
{
var seed = (int)settings["seed"];
var stepsize = settings["stepsize"];
var itermax = (int)settings["itermax"];
var hc = new HillclimberAlgorithm(lb, ub, stepsize, itermax, eval, seed);
hc.Solve();
Xopt = hc.get_Xoptimum();
Fxopt = hc.get_fxoptimum();
}
return(true);
}
catch
{
return(false);
}
}
