public void MOFWOptimizerTest2()
{
MOFWOptimizer optimizer = new MOFWOptimizer();
FWParams param = new FWParams(20, 5, 0.1, 2, 5, 0.2);
MOOptimizationProblem problem = new MOOptimizationProblem(
new List <Func <IReadOnlyList <double>, double> >()
{
Obj1,
Obj2
},
Enumerable.Repeat(0.0, 5).ToArray(),
Enumerable.Repeat(1.0, 5).ToArray()
);
optimizer.Minimize(param, problem);
Assert.True(optimizer.ParetoFront.Count() == param.NP);
}
private static void Main(string[] args)
{
IMOOptProblem problem = new ZDT1(Enumerable.Repeat(0.0, 10).ToArray(), Enumerable.Repeat(1.0, 10).ToArray());
MOFWOptimizer optimizer = new MOFWOptimizer();
FWParams parameters = new FWParams(50, 200, 20, 10, 30, 2);
ProgressReporter reporter = new ProgressReporter();
optimizer.Minimize(parameters, problem, reporter);
foreach (Agent agent in optimizer.ParetoFront)
{
Console.WriteLine($"F1 = {agent.Objs[0]} F2 = {agent.Objs[1]}");
}
Console.ReadKey();
}
private static void SolveFW(INamedMOProblem Problem, string PathToOutDir, int MaxRun)
{
MappedDiagnosticsContext.Set("thread_id", $"_{Thread.CurrentThread.ManagedThreadId}_");
Logger logger = LogManager.GetLogger("Main");
const int numParams = 6;
object[][] parameters =
{
//new object[numParams] {250, 600, 10, 20, 30, 1.1},
new object[numParams] {
300, 700, 20, 8, 15, 0.025
},
new object[numParams] {
300, 1000, 25, 8, 17, 0.05
},
new object[numParams] {
400, 900, 15, 8, 12, 0.1
},
new object[numParams] {
350, 750, 20, 10, 19, 0.15
}
};
string pathToXml = Path.Combine(PathToOutDir, $"{Problem.Name}_res.xml");
logger.Info($"Open a xml file. '{pathToXml}'");
var normalGen = new NormalGen();
var contGen = new ContGen();
MOFWOptimizer opt = new MOFWOptimizer(contGen, normalGen);
using (XmlWriter writer = XmlWriter.Create(pathToXml))
{
writer.WriteStartDocument();
writer.WriteStartElement("Problem");
Dictionary <string, string> problemDesc = new Dictionary <string, string>
{
["Name"] = Problem.Name,
["DimDec"] = Problem.LowerBounds.Count.ToString(),
["DimObj"] = Problem.CountObjs.ToString(),
};
foreach (var name in problemDesc)
{
writer.WriteAttributeString(name.Key, name.Value);
}
writer.WriteStartElement("Bounds");
foreach (var bound in Problem.LowerBounds.Zip(Problem.UpperBounds, (low, upp) => (Lower: low, Upper: upp)))
{
writer.WriteStartElement("Bound");
writer.WriteAttributeString("LowerB", bound.Lower.ToString());
writer.WriteAttributeString("UpperB", bound.Upper.ToString());
writer.WriteEndElement();
}
writer.WriteEndElement();
logger.Info("Start solving with MOFW.");
foreach (var par in Enumerable.Range(0, parameters.Length).Zip(parameters, (num, par) => (Num: num, Parameters: par)))
{
logger.Info($"Try to find solution with {par.Num}th configuration of {parameters.Length}");
writer.WriteStartElement("Experiment");
writer.WriteStartElement("OptParams");
FWParams pars = CreateParams <FWParams>(par.Parameters);
var paramsType = pars.GetType();
foreach (var prop in paramsType.GetProperties())
{
if (prop.PropertyType == typeof(bool))
{
continue;
}
writer.WriteStartElement("Param");
writer.WriteAttributeString(prop.Name, prop.GetValue(pars).ToString());
writer.WriteEndElement();
}
writer.WriteEndElement();
writer.WriteStartElement("Runs");
for (int i = 0; i < MaxRun; i++)
{
logger.Info($"Run {i} of {MaxRun}");
writer.WriteStartElement("Run");
try
{
opt.Minimize(pars, Problem);
writer.WriteStartElement("Decisions");
foreach (var agent in opt.ParetoFront)
{
writer.WriteStartElement("Point");
for (int coordIndex = 0; coordIndex < agent.Point.Count; coordIndex++)
{
writer.WriteAttributeString($"x{coordIndex + 1}", agent.Point[coordIndex].ToString());
}
writer.WriteEndElement();
}
writer.WriteEndElement();
writer.WriteStartElement("Targets");
foreach (var agent in opt.ParetoFront)
{
writer.WriteStartElement("Target");
for (int coordIndex = 0; coordIndex < agent.Objs.Count; coordIndex++)
{
writer.WriteAttributeString($"F{coordIndex + 1}", agent.Objs[coordIndex].ToString());
}
writer.WriteEndElement();
}
writer.WriteEndElement();
}
catch (Exception exc)
{
logger.Error(exc, "Error was in optimization process.");
logger.Info("Recreate optimization method.");
opt = new MOFWOptimizer();
logger.Info($"Skip run {i}.");
}
writer.WriteEndElement();
}
writer.WriteEndElement();
writer.WriteEndElement();
}
}
logger.Info("Close a xml file.");
MappedDiagnosticsContext.Remove("thread_id");
}
