#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 System;
using System.Linq;
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.ConditionActionEncoding {
[Item("XCSDeletionOperator", "Description missing")]
[StorableClass]
public class XCSDeletionOperator : SingleSuccessorOperator, IStochasticOperator {
#region Parameter Properties
public ILookupParameter NumberToDeleteParameter {
get { return (ILookupParameter)Parameters["NumberToDelete"]; }
}
public ILookupParameter> NumerositiesParameter {
get { return (ILookupParameter>)Parameters["Numerosities"]; }
}
public ILookupParameter> AverageActionSetSizesParameter {
get { return (ILookupParameter>)Parameters["AverageActionSetSizes"]; }
}
public ILookupParameter> FitnessesParameter {
get { return (ILookupParameter>)Parameters["Fitnesses"]; }
}
public ILookupParameter> ExperiencesParameter {
get { return (ILookupParameter>)Parameters["Experiences"]; }
}
public ILookupParameter> HasToBeDeletedParameter {
get { return (ILookupParameter>)Parameters["HasToBeDeleted"]; }
}
public ILookupParameter ThetaDeletionParameter {
get { return (ILookupParameter)Parameters["ThetaDeletion"]; }
}
public ILookupParameter DeltaParameter {
get { return (ILookupParameter)Parameters["Delta"]; }
}
public ILookupParameter RandomParameter {
get { return (ILookupParameter)Parameters["Random"]; }
}
public ILookupParameter CurrentPopulationSizeParameter {
get { return (ILookupParameter)Parameters["CurrentPopulationSize"]; }
}
#endregion
#region Parameter Properties
private double Delta { get { return DeltaParameter.ActualValue.Value; } }
private int ThetaDeletion { get { return ThetaDeletionParameter.ActualValue.Value; } }
#endregion
[StorableConstructor]
protected XCSDeletionOperator(bool deserializing) : base(deserializing) { }
protected XCSDeletionOperator(XCSDeletionOperator original, Cloner cloner)
: base(original, cloner) {
}
public XCSDeletionOperator()
: base() {
Parameters.Add(new LookupParameter("NumberToDelete"));
Parameters.Add(new ScopeTreeLookupParameter("Numerosities"));
Parameters.Add(new ScopeTreeLookupParameter("AverageActionSetSizes"));
Parameters.Add(new ScopeTreeLookupParameter("Fitnesses"));
Parameters.Add(new ScopeTreeLookupParameter("Experiences"));
Parameters.Add(new ScopeTreeLookupParameter("HasToBeDeleted"));
Parameters.Add(new LookupParameter("ThetaDeletion"));
Parameters.Add(new LookupParameter("Delta"));
Parameters.Add(new LookupParameter("Random"));
Parameters.Add(new LookupParameter("CurrentPopulationSize"));
}
public override IDeepCloneable Clone(Cloner cloner) {
return new XCSDeletionOperator(this, cloner);
}
public override IOperation Apply() {
var fitnesses = FitnessesParameter.ActualValue;
var numerosities = NumerositiesParameter.ActualValue;
var experiences = ExperiencesParameter.ActualValue;
var averageActionSetSizes = AverageActionSetSizesParameter.ActualValue;
var hasToBeDeleted = HasToBeDeletedParameter.ActualValue;
double fitnessSum = fitnesses.Select(x => x.Value).Sum();
double numerositySum = numerosities.Select(x => x.Value).Sum();
if (fitnesses.Length != numerosities.Length && fitnesses.Length != experiences.Length) {
throw new ArgumentException("Different number of fitness, numerosity and experience values.");
}
for (int i = 0; i < NumberToDeleteParameter.ActualValue.Value; i++) {
double voteSum = 0;
double averageFitnessInPopulation = fitnessSum / numerositySum;
for (int cl = 0; cl < fitnesses.Length; cl++) {
if (numerosities[cl].Value > 0 && !hasToBeDeleted[cl].Value) {
voteSum += DeletionVote(averageFitnessInPopulation, averageActionSetSizes[cl].Value, numerosities[cl].Value, fitnesses[cl].Value, experiences[cl].Value);
}
}
double choicePoint = RandomParameter.ActualValue.NextDouble() * voteSum;
voteSum = 0;
for (int cl = 0; cl < fitnesses.Length; cl++) {
if (numerosities[cl].Value > 0 && !hasToBeDeleted[cl].Value) {
voteSum += DeletionVote(averageFitnessInPopulation, averageActionSetSizes[cl].Value, numerosities[cl].Value, fitnesses[cl].Value, experiences[cl].Value);
if (voteSum > choicePoint) {
if (numerosities[cl].Value <= 1) {
hasToBeDeleted[cl].Value = true;
fitnessSum -= fitnesses[cl].Value;
}
numerosities[cl].Value--;
numerositySum--;
break;
}
}
}
}
CurrentPopulationSizeParameter.ActualValue.Value -= NumberToDeleteParameter.ActualValue.Value;
return base.Apply();
}
private double DeletionVote(double averageFitnessInPopulation, double ass, int num, double f, int exp) {
double vote = ass * num;
if (exp > ThetaDeletion && (f / num) < Delta * averageFitnessInPopulation) {
vote *= averageFitnessInPopulation / (f / num);
}
return vote;
}
}
}