#region License Information
/* HeuristicLab
* Copyright (C) 2002-2019 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 HEAL.Fossil;
namespace HeuristicLab.Encodings.IntegerVectorEncoding {
[Item("StdDevStrategyVectorCrossover", "Crosses the strategy vector by using intermediate recombination (average crossover).")]
[StorableType("27583F67-4C80-4059-B4F9-80587C0DFB13")]
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(StorableConstructorFlag _) : base(_) { }
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;
}
}
}