#region License Information /* HeuristicLab * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL) * * This file is part of HeuristicLab. * * HeuristicLab is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * HeuristicLab is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with HeuristicLab. If not, see . */ #endregion using HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Operators; using HeuristicLab.Optimization; using HeuristicLab.Parameters; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; namespace HeuristicLab.Encodings.IntegerVectorEncoding { [Item("StdDevStrategyVectorCrossover", "Crosses the strategy vector by using intermediate recombination (average crossover).")] [StorableClass] public class StdDevStrategyVectorCrossover : SingleSuccessorOperator, IStochasticOperator, IIntegerVectorStdDevStrategyParameterCrossover { public override bool CanChangeName { get { return false; } } public ILookupParameter RandomParameter { get { return (ILookupParameter)Parameters["Random"]; } } public ILookupParameter> ParentsParameter { get { return (ILookupParameter>)Parameters["ParentStrategyParameter"]; } } public ILookupParameter StrategyParameterParameter { get { return (ILookupParameter)Parameters["StrategyParameter"]; } } [StorableConstructor] protected StdDevStrategyVectorCrossover(bool deserializing) : base(deserializing) { } protected StdDevStrategyVectorCrossover(StdDevStrategyVectorCrossover original, Cloner cloner) : base(original, cloner) { } public StdDevStrategyVectorCrossover() : base() { Parameters.Add(new LookupParameter("Random", "The random number generator to use.")); Parameters.Add(new ScopeTreeLookupParameter("ParentStrategyParameter", "The strategy parameters to cross.")); Parameters.Add(new LookupParameter("StrategyParameter", "The crossed strategy parameter.")); ParentsParameter.ActualName = "StrategyParameter"; } public override IDeepCloneable Clone(Cloner cloner) { return new StdDevStrategyVectorCrossover(this, cloner); } public override IOperation Apply() { StrategyParameterParameter.ActualValue = Average(RandomParameter.ActualValue, ParentsParameter.ActualValue); return base.Apply(); } private DoubleArray Average(IRandom random, ItemArray parents) { int length = parents[0].Length; var result = new DoubleArray(length); for (int i = 0; i < length; i++) { for (int p = 0; p < parents.Length; p++) { result[i] += parents[p][i]; } result[i] /= parents.Length; } return result; } } }