public void RegisterResearch(WebResearchParameters webParameters)
{
string connecionId = Context.ConnectionId;
Register();
LandscapeResearch research = new LandscapeResearch();
if (researches.ContainsKey(connecionId))
{
research = researches[connecionId];
//reseach.Stop();
}
else
{
research = new LandscapeResearch();
}
ResearchParameters parameters = new ResearchParameters()
{
Sensitivity = webParameters.Sensitivity,
RandomWalkNumber = webParameters.RandomWalkNumber,
RandomWalkSteps = webParameters.RandomWalkSteps,
CrossoverOperators = new List <CrossoverOperator>(),
MutationOperators = new List <MutationOperator>(),
RoadWeight200 = webParameters.RoadWeight200,
RoadWeight400 = webParameters.RoadWeight400,
RoadWeight600 = webParameters.RoadWeight600,
RoadWeight800 = webParameters.RoadWeight800,
RoadWeight1000 = webParameters.RoadWeight1000
};
if (webParameters.CrossoverOperators != null)
{
foreach (var xOp in webParameters.CrossoverOperators)
{
parameters.CrossoverOperators.Add(CrossoverOperatorFactory.Create(xOp));
}
}
if (webParameters.MutationOperators != null)
{
foreach (var mOp in webParameters.MutationOperators)
{
parameters.MutationOperators.Add(MutationOperatorFactory.Create(mOp));
}
}
researches.TryAdd(connecionId, research);
string inputPath = HttpContext.Current.Server.MapPath("~/Data/Homberger");
string outputPath = HttpContext.Current.Server.MapPath("~/Results/Homberger");
research.Run(parameters, inputPath, outputPath, UpdateResearch, connecionId);
}
public void RegisterAlgorithm(string problemName, ParametersWebsite webParameters)
{
string filePath = HttpContext.Current.Server.MapPath("~/Data/Homberger/" + problemName.ToUpper() + @".txt");
VrptwProblem problem = new VrptwProblemReader().ReadFromFile(filePath);
string connecionId = Context.ConnectionId;
Register();
MemeticAlgorithm ma;
if (algorithms.ContainsKey(connecionId))
{
ma = algorithms[connecionId];
ma.Stop();
}
else
{
ma = new MemeticAlgorithm();
}
Parameters parameters = new Parameters
{
Heuristics = HeuristicsFactory.Create(webParameters.Heuristics),
PopulationSize = webParameters.PopulationSize,
Selection = SelectionFactory.Create(webParameters.Selection),
CrossoverOperators = new List <CrossoverOperator>(),
MutationOperators = new List <MutationOperator>(),
CrossoverProbability = webParameters.CrossoverProbability,
MutationProbability = webParameters.MutationProbability,
Fitness = new FitnessFunction(webParameters.FitnessRoutes, webParameters.FitnesDistance),
EliteChildrenCount = webParameters.EliteChildrenCount,
GeneCount = problem.Customers.Count,
FitnessStrategy = FitnessStrategy.MINIMIZE,
ConvergenceLimit = webParameters.ConvergenceLimit,
PreservedChromosomesNumber = webParameters.PreservedChromosomeNumber,
MaxIterations = webParameters.Iterations,
ChromosomeFactory = new SolutionFactory(),
HeuristicsParameters = webParameters.HeuristicsParameters
};
parameters.CrossoverOperators.Add(CrossoverOperatorFactory.Create(webParameters.Crossover));
parameters.MutationOperators.Add(MutationOperatorFactory.Create(webParameters.Mutation));
algorithms.TryAdd(connecionId, ma);
var result = ma.Run(problem, parameters, UpdateSolution, connecionId);
var solution = result.Result as Solution;
string outputPath = HttpContext.Current.Server.MapPath("~/Results/Memetic");
string outputFilePath = outputPath + @"/" + problem.Name + ".txt";
File.WriteAllText(outputFilePath, solution.ToFileText());
}