private static IMigrationStrategy CreateMigrationStrategy(IslandEngine engine, IRandom random, IFitnessComparer fitnessComparer, ParameterSet parameters, PeaSettings settings)
{
//TODO: MigrationFactory!
var selection = new TournamentSelection(random, fitnessComparer, parameters);
var replacement = new ReplaceWorstEntitiesOfPopulation(random, fitnessComparer, parameters);
var strategy = new Migration.Implementation.MigrationStrategy(random, selection, replacement, engine.Parameters);
strategy.Parameters.SetValue(Migration.ParameterNames.MigrationReceptionRate, 0.01);
return(strategy);
}
private void AddCallbackEvents(IslandEngine engine, List <NewEntitiesMergedToBestDelegate> delegates)
{
if (delegates.Count > 0)
{
for (int d = 0; d < delegates.Count; d++)
{
NewEntitiesMergedToBest += delegates[d];
}
engine.NewEntityMergedToBest = NewEntitiesMergetToBestCallback;
}
}
public static IslandEngine Create(MultiKey islandKey, PeaSettings settings, int seed)
{
if (seed == 0)
{
seed = islandKey.GetHashCode() + Environment.TickCount;
}
var random = (IRandom)Activator.CreateInstance(settings.Random, seed);
var parameterSet = CreateParameters(settings);
var fitness = (IFitnessFactory)Activator.CreateInstance(settings.Fitness);
var fitnessComparer = fitness.GetFitnessComparer();
var engine = new IslandEngine()
{
Random = random,
Settings = settings,
Parameters = parameterSet
};
var algorithm = CreateAlgorithm(engine, settings);
var conflictDetectors = CreateConflictDetectors(settings.SubProblemList);
var chromosomeFactories = CreateChromosomeFactories(engine, settings, conflictDetectors, random);
var defaultCreator = new EntityCreator(settings.EntityType, chromosomeFactories, random);
engine.EntityCreators = CreateEntityCreators(settings.SubProblemList, defaultCreator, random);
IMigrationStrategy migrationStrategy = CreateMigrationStrategy(engine, random, fitnessComparer, parameterSet, settings);
engine.Algorithm = algorithm.GetAlgorithm(engine);
engine.FitnessComparer = fitnessComparer;
engine.ConflictDetectors = conflictDetectors;
engine.Selections = CreateSelections(algorithm, settings, parameterSet, random, fitnessComparer);
engine.Replacements = CreateReinsertions(algorithm, settings, parameterSet, random, fitnessComparer);
engine.MigrationStrategy = migrationStrategy;
engine.Reduction = new Population.Reduction.CleanOutTournamentLosers(random, parameterSet);
//engine.Reduction = new Population.Reduction.DoNothingReduction();
engine.Parameters.SetValueRange(algorithm.GetParameters());
engine.EntityMutation = new EntityMutation(chromosomeFactories, random);
engine.EntityCrossover = new EntityCrossover(chromosomeFactories, random);
engine.StopCriteria = settings.StopCriteria;
return(engine);
}
