private EvolutionStrategy CreateEsGriewankSample() {
EvolutionStrategy es = new EvolutionStrategy();
#region Problem Configuration
SingleObjectiveTestFunctionProblem problem = new SingleObjectiveTestFunctionProblem();
problem.ProblemSize.Value = 10;
problem.EvaluatorParameter.Value = new GriewankEvaluator();
problem.SolutionCreatorParameter.Value = new UniformRandomRealVectorCreator();
problem.Maximization.Value = false;
problem.Bounds = new DoubleMatrix(new double[,] { { -600, 600 } });
problem.BestKnownQuality.Value = 0;
problem.BestKnownSolutionParameter.Value = new RealVector(10);
problem.Name = "Single Objective Test Function";
problem.Description = "Test function with real valued inputs and a single objective.";
#endregion
#region Algorithm Configuration
es.Name = "Evolution Strategy - Griewank";
es.Description = "An evolution strategy which solves the 10-dimensional Griewank test function";
es.Problem = problem;
SamplesUtils.ConfigureEvolutionStrategyParameters<AverageCrossover, NormalAllPositionsManipulator,
StdDevStrategyVectorCreator, StdDevStrategyVectorCrossover, StdDevStrategyVectorManipulator>(
es, 20, 500, 2, 200, false);
StdDevStrategyVectorCreator strategyCreator = (StdDevStrategyVectorCreator)es.StrategyParameterCreator;
strategyCreator.BoundsParameter.Value = new DoubleMatrix(new double[,] { { 1, 20 } });
StdDevStrategyVectorManipulator strategyManipulator =
(StdDevStrategyVectorManipulator)es.StrategyParameterManipulator;
strategyManipulator.BoundsParameter.Value = new DoubleMatrix(new double[,] { { 1E-12, 30 } });
strategyManipulator.GeneralLearningRateParameter.Value = new DoubleValue(0.22360679774997896);
strategyManipulator.LearningRateParameter.Value = new DoubleValue(0.39763536438352531);
#endregion
return es;
}
private void LoadingCompleted(IStorableContent content)
{
//if (error != null) throw error;
UpdateRun("Algorithm loading complete", StrategyState.Running);
if (content is HeuristicLab.Algorithms.EvolutionStrategy.EvolutionStrategy)
{
algorithm = content as HeuristicLab.Algorithms.EvolutionStrategy.EvolutionStrategy;
VehicleRoutingProblem problem = algorithm.Problem as VehicleRoutingProblem;
if (problem == null)
{
Console.WriteLine("Unsupported problem type detected.");
return;
}
SetProblemInstance(problem);
ParameterizeProblem(problem);
ParameterizeAlgorithm(algorithm);
RegisterAlgorithmEventHandlers(algorithm);
try
{
algorithm.Start();
}
catch (Exception exc)
{
Console.WriteLine("Error Loading: " + exc.Message);
}
}
else
{
// TODO: update the run status to error...
//_strategyState = StrategyState.Stopped;
}
}
private void ParameterizeAlgorithm(HeuristicLab.Algorithms.EvolutionStrategy.EvolutionStrategy algorithm)
{
//set all parameters of the algorithm, e.g.
algorithm.MaximumGenerations = new IntValue(_run.GenerationsToRun);
}
private EvolutionStrategy(EvolutionStrategy original, Cloner cloner)
: base(original, cloner)
{
qualityAnalyzer = cloner.Clone(original.qualityAnalyzer);
Initialize();
}
private EvolutionStrategy(EvolutionStrategy original, Cloner cloner)
: base(original, cloner) {
qualityAnalyzer = cloner.Clone(original.qualityAnalyzer);
Initialize();
}
