| 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2013 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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| 4 | *
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| 5 | * This file is part of HeuristicLab.
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| 6 | *
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| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 8 | * it under the terms of the GNU General Public License as published by
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| 9 | * the Free Software Foundation, either version 3 of the License, or
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| 10 | * (at your option) any later version.
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| 11 | *
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| 12 | * HeuristicLab is distributed in the hope that it will be useful,
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| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 15 | * GNU General Public License for more details.
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| 16 | *
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| 17 | * You should have received a copy of the GNU General Public License
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| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 19 | */
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| 20 | #endregion
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| 21 |
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| 22 | using HeuristicLab.Common;
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| 23 | using HeuristicLab.Core;
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| 24 | using HeuristicLab.Data;
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| 25 | using HeuristicLab.Operators;
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| 26 | using HeuristicLab.Optimization;
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| 27 | using HeuristicLab.Optimization.Operators;
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| 28 | using HeuristicLab.Parameters;
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| 29 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 30 | using HeuristicLab.Selection;
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| 31 |
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| 32 | namespace HeuristicLab.Algorithms.GeneticAlgorithm {
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| 33 | /// <summary>
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| 34 | /// An island genetic algorithm main loop operator.
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| 35 | /// </summary>
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| 36 | [Item("IslandGeneticAlgorithmMainLoop", "An island genetic algorithm main loop operator.")]
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| 37 | [StorableClass]
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| 38 | public sealed class IslandGeneticAlgorithmMainLoop : AlgorithmOperator {
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| 39 | #region Parameter Properties
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| 40 | public ValueLookupParameter<IRandom> RandomParameter {
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| 41 | get { return (ValueLookupParameter<IRandom>)Parameters["Random"]; }
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| 42 | }
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| 43 | public ValueLookupParameter<BoolValue> MaximizationParameter {
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| 44 | get { return (ValueLookupParameter<BoolValue>)Parameters["Maximization"]; }
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| 45 | }
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| 46 | public ScopeTreeLookupParameter<DoubleValue> QualityParameter {
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| 47 | get { return (ScopeTreeLookupParameter<DoubleValue>)Parameters["Quality"]; }
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| 48 | }
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| 49 | public ValueLookupParameter<DoubleValue> BestKnownQualityParameter {
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| 50 | get { return (ValueLookupParameter<DoubleValue>)Parameters["BestKnownQuality"]; }
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| 51 | }
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| 52 | public ValueLookupParameter<IntValue> NumberOfIslandsParameter {
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| 53 | get { return (ValueLookupParameter<IntValue>)Parameters["NumberOfIslands"]; }
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| 54 | }
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| 55 | public ValueLookupParameter<IntValue> MigrationIntervalParameter {
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| 56 | get { return (ValueLookupParameter<IntValue>)Parameters["MigrationInterval"]; }
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| 57 | }
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| 58 | public ValueLookupParameter<PercentValue> MigrationRateParameter {
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| 59 | get { return (ValueLookupParameter<PercentValue>)Parameters["MigrationRate"]; }
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| 60 | }
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| 61 | public ValueLookupParameter<IOperator> MigratorParameter {
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| 62 | get { return (ValueLookupParameter<IOperator>)Parameters["Migrator"]; }
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| 63 | }
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| 64 | public ValueLookupParameter<IOperator> EmigrantsSelectorParameter {
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| 65 | get { return (ValueLookupParameter<IOperator>)Parameters["EmigrantsSelector"]; }
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| 66 | }
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| 67 | public ValueLookupParameter<IOperator> ImmigrationReplacerParameter {
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| 68 | get { return (ValueLookupParameter<IOperator>)Parameters["ImmigrationReplacer"]; }
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| 69 | }
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| 70 | public ValueLookupParameter<IntValue> PopulationSizeParameter {
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| 71 | get { return (ValueLookupParameter<IntValue>)Parameters["PopulationSize"]; }
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| 72 | }
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| 73 | public ValueLookupParameter<IntValue> MaximumGenerationsParameter {
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| 74 | get { return (ValueLookupParameter<IntValue>)Parameters["MaximumGenerations"]; }
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| 75 | }
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| 76 | public ValueLookupParameter<IOperator> SelectorParameter {
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| 77 | get { return (ValueLookupParameter<IOperator>)Parameters["Selector"]; }
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| 78 | }
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| 79 | public ValueLookupParameter<IOperator> CrossoverParameter {
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| 80 | get { return (ValueLookupParameter<IOperator>)Parameters["Crossover"]; }
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| 81 | }
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| 82 | public ValueLookupParameter<PercentValue> MutationProbabilityParameter {
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| 83 | get { return (ValueLookupParameter<PercentValue>)Parameters["MutationProbability"]; }
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| 84 | }
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| 85 | public ValueLookupParameter<IOperator> MutatorParameter {
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| 86 | get { return (ValueLookupParameter<IOperator>)Parameters["Mutator"]; }
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| 87 | }
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| 88 | public ValueLookupParameter<IOperator> EvaluatorParameter {
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| 89 | get { return (ValueLookupParameter<IOperator>)Parameters["Evaluator"]; }
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| 90 | }
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| 91 | public ValueLookupParameter<IntValue> ElitesParameter {
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| 92 | get { return (ValueLookupParameter<IntValue>)Parameters["Elites"]; }
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| 93 | }
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| 94 | public IValueLookupParameter<BoolValue> ReevaluateElitesParameter {
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| 95 | get { return (IValueLookupParameter<BoolValue>)Parameters["ReevaluateElites"]; }
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| 96 | }
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| 97 | public ValueLookupParameter<ResultCollection> ResultsParameter {
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| 98 | get { return (ValueLookupParameter<ResultCollection>)Parameters["Results"]; }
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| 99 | }
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| 100 | public ValueLookupParameter<IOperator> AnalyzerParameter {
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| 101 | get { return (ValueLookupParameter<IOperator>)Parameters["Analyzer"]; }
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| 102 | }
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| 103 | public ValueLookupParameter<IOperator> IslandAnalyzerParameter {
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| 104 | get { return (ValueLookupParameter<IOperator>)Parameters["IslandAnalyzer"]; }
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| 105 | }
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| 106 | public LookupParameter<IntValue> EvaluatedSolutionsParameter {
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| 107 | get { return (LookupParameter<IntValue>)Parameters["EvaluatedSolutions"]; }
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| 108 | }
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| 109 | public LookupParameter<IntValue> IslandGenerations {
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| 110 | get { return (LookupParameter<IntValue>)Parameters["IslandGenerations"]; }
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| 111 | }
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| 112 | public LookupParameter<IntValue> IslandEvaluatedSolutions {
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| 113 | get { return (LookupParameter<IntValue>)Parameters["IslandEvaluatedSolutions"]; }
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| 114 | }
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| 115 | public ValueLookupParameter<BoolValue> Migrate {
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| 116 | get { return (ValueLookupParameter<BoolValue>)Parameters["Migrate"]; }
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| 117 | }
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| 118 | #endregion
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| 119 |
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| 120 | [StorableConstructor]
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| 121 | private IslandGeneticAlgorithmMainLoop(bool deserializing) : base(deserializing) { }
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| 122 | private IslandGeneticAlgorithmMainLoop(IslandGeneticAlgorithmMainLoop original, Cloner cloner)
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| 123 | : base(original, cloner) {
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| 124 | }
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| 125 | public override IDeepCloneable Clone(Cloner cloner) {
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| 126 | return new IslandGeneticAlgorithmMainLoop(this, cloner);
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| 127 | }
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| 128 | public IslandGeneticAlgorithmMainLoop()
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| 129 | : base() {
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| 130 | #region Create parameters
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| 131 | Parameters.Add(new ValueLookupParameter<IRandom>("Random", "A pseudo random number generator."));
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| 132 | Parameters.Add(new ValueLookupParameter<BoolValue>("Maximization", "True if the problem is a maximization problem, otherwise false."));
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| 133 | Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("Quality", "The value which represents the quality of a solution."));
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| 134 | Parameters.Add(new ValueLookupParameter<DoubleValue>("BestKnownQuality", "The best known quality value found so far."));
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| 135 | Parameters.Add(new ValueLookupParameter<IntValue>("NumberOfIslands", "The number of islands."));
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| 136 | Parameters.Add(new ValueLookupParameter<IntValue>("MigrationInterval", "The number of generations that should pass between migration phases."));
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| 137 | Parameters.Add(new ValueLookupParameter<PercentValue>("MigrationRate", "The proportion of individuals that should migrate between the islands."));
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| 138 | Parameters.Add(new ValueLookupParameter<IOperator>("Migrator", "The migration strategy."));
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| 139 | Parameters.Add(new ValueLookupParameter<IOperator>("EmigrantsSelector", "Selects the individuals that will be migrated."));
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| 140 | Parameters.Add(new ValueLookupParameter<IOperator>("ImmigrationReplacer", "Replaces some of the original population with the immigrants."));
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| 141 | Parameters.Add(new ValueLookupParameter<IntValue>("PopulationSize", "The size of the population of solutions."));
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| 142 | Parameters.Add(new ValueLookupParameter<IntValue>("MaximumGenerations", "The maximum number of generations that the algorithm should process."));
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| 143 | Parameters.Add(new ValueLookupParameter<IOperator>("Selector", "The operator used to select solutions for reproduction."));
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| 144 | Parameters.Add(new ValueLookupParameter<IOperator>("Crossover", "The operator used to cross solutions."));
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| 145 | Parameters.Add(new ValueLookupParameter<PercentValue>("MutationProbability", "The probability that the mutation operator is applied on a solution."));
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| 146 | Parameters.Add(new ValueLookupParameter<IOperator>("Mutator", "The operator used to mutate solutions."));
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| 147 | Parameters.Add(new ValueLookupParameter<IOperator>("Evaluator", "The operator used to evaluate solutions."));
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| 148 | Parameters.Add(new ValueLookupParameter<IntValue>("Elites", "The numer of elite solutions which are kept in each generation."));
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| 149 | Parameters.Add(new ValueLookupParameter<BoolValue>("ReevaluateElites", "Flag to determine if elite individuals should be reevaluated (i.e., if stochastic fitness functions are used.)"));
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| 150 | Parameters.Add(new ValueLookupParameter<ResultCollection>("Results", "The results collection to store the results."));
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| 151 | Parameters.Add(new ValueLookupParameter<IOperator>("Analyzer", "The operator used to the analyze the islands."));
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| 152 | Parameters.Add(new ValueLookupParameter<IOperator>("IslandAnalyzer", "The operator used to analyze each island."));
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| 153 | Parameters.Add(new LookupParameter<IntValue>("EvaluatedSolutions", "The number of times a solution has been evaluated."));
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| 154 | Parameters.Add(new LookupParameter<IntValue>("IslandGenerations", "The number of generations calculated on one island."));
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| 155 | Parameters.Add(new LookupParameter<IntValue>("IslandEvaluatedSolutions", "The number of times a solution has been evaluated on one island."));
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| 156 | Parameters.Add(new ValueLookupParameter<BoolValue>("Migrate", "Migrate the island?"));
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| 157 | #endregion
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| 158 |
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| 159 | #region Create operators
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| 160 | VariableCreator variableCreator = new VariableCreator();
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| 161 | UniformSubScopesProcessor uniformSubScopesProcessor0 = new UniformSubScopesProcessor();
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| 162 | VariableCreator islandVariableCreator = new VariableCreator();
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| 163 | Placeholder islandAnalyzer1 = new Placeholder();
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| 164 | LocalRandomCreator localRandomCreator = new LocalRandomCreator();
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| 165 | Placeholder analyzer1 = new Placeholder();
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| 166 | ResultsCollector resultsCollector1 = new ResultsCollector();
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| 167 | UniformSubScopesProcessor uniformSubScopesProcessor1 = new UniformSubScopesProcessor();
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| 168 | Assigner generationsAssigner = new Assigner();
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| 169 | Assigner evaluatedSolutionsAssigner = new Assigner();
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| 170 | Placeholder selector = new Placeholder();
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| 171 | SubScopesProcessor subScopesProcessor1 = new SubScopesProcessor();
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| 172 | ChildrenCreator childrenCreator = new ChildrenCreator();
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| 173 | UniformSubScopesProcessor uniformSubScopesProcessor2 = new UniformSubScopesProcessor();
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| 174 | Placeholder crossover = new Placeholder();
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| 175 | StochasticBranch stochasticBranch = new StochasticBranch();
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| 176 | Placeholder mutator = new Placeholder();
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| 177 | SubScopesRemover subScopesRemover = new SubScopesRemover();
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| 178 | UniformSubScopesProcessor uniformSubScopesProcessor3 = new UniformSubScopesProcessor();
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| 179 | Placeholder evaluator = new Placeholder();
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| 180 | SubScopesCounter subScopesCounter = new SubScopesCounter();
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| 181 | SubScopesProcessor subScopesProcessor2 = new SubScopesProcessor();
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| 182 | BestSelector bestSelector = new BestSelector();
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| 183 | RightReducer rightReducer = new RightReducer();
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| 184 | MergingReducer mergingReducer = new MergingReducer();
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| 185 | IntCounter islandGenerationsCounter = new IntCounter();
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| 186 | Comparator checkIslandGenerationsReachedMaximum = new Comparator();
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| 187 | ConditionalBranch checkContinueEvolution = new ConditionalBranch();
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| 188 | DataReducer generationsReducer = new DataReducer();
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| 189 | DataReducer evaluatedSolutionsReducer = new DataReducer();
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| 190 | Placeholder islandAnalyzer2 = new Placeholder();
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| 191 | UniformSubScopesProcessor uniformSubScopesProcessor5 = new UniformSubScopesProcessor();
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| 192 | Placeholder emigrantsSelector = new Placeholder();
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| 193 | IntCounter migrationsCounter = new IntCounter();
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| 194 | Placeholder migrator = new Placeholder();
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| 195 | UniformSubScopesProcessor uniformSubScopesProcessor6 = new UniformSubScopesProcessor();
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| 196 | Placeholder immigrationReplacer = new Placeholder();
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| 197 | Comparator generationsComparator = new Comparator();
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| 198 | Placeholder analyzer2 = new Placeholder();
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| 199 | ConditionalBranch generationsTerminationCondition = new ConditionalBranch();
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| 200 | ConditionalBranch reevaluateElitesBranch = new ConditionalBranch();
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| 201 |
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| 202 |
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| 203 | variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("Migrations", new IntValue(0)));
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| 204 | variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("GenerationsSinceLastMigration", new IntValue(0)));
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| 205 | variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("Generations", new IntValue(0))); // Class IslandGeneticAlgorithm expects this to be called Generations
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| 206 |
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| 207 | islandVariableCreator.CollectedValues.Add(new ValueParameter<ResultCollection>("Results", new ResultCollection()));
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| 208 | islandVariableCreator.CollectedValues.Add(new ValueParameter<IntValue>("IslandGenerations", new IntValue(0)));
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| 209 | islandVariableCreator.CollectedValues.Add(new ValueParameter<IntValue>("IslandEvaluatedSolutions", new IntValue(0)));
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| 210 |
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| 211 | islandAnalyzer1.Name = "Island Analyzer (placeholder)";
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| 212 | islandAnalyzer1.OperatorParameter.ActualName = IslandAnalyzerParameter.Name;
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| 213 |
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| 214 | analyzer1.Name = "Analyzer (placeholder)";
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| 215 | analyzer1.OperatorParameter.ActualName = AnalyzerParameter.Name;
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| 216 |
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| 217 | resultsCollector1.CollectedValues.Add(new LookupParameter<IntValue>("Migrations"));
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| 218 | resultsCollector1.CollectedValues.Add(new LookupParameter<IntValue>("Generations"));
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| 219 | resultsCollector1.CollectedValues.Add(new ScopeTreeLookupParameter<ResultCollection>("IslandResults", "Result set for each island", "Results"));
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| 220 | resultsCollector1.ResultsParameter.ActualName = ResultsParameter.Name;
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| 221 |
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| 222 | uniformSubScopesProcessor1.Parallel.Value = true;
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| 223 |
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| 224 | generationsAssigner.Name = "Initialize Island Generations";
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| 225 | generationsAssigner.LeftSideParameter.ActualName = IslandGenerations.Name;
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| 226 | generationsAssigner.RightSideParameter.Value = new IntValue(0);
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| 227 |
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| 228 | evaluatedSolutionsAssigner.Name = "Initialize Island evaluated solutions";
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| 229 | evaluatedSolutionsAssigner.LeftSideParameter.ActualName = IslandEvaluatedSolutions.Name;
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| 230 | evaluatedSolutionsAssigner.RightSideParameter.Value = new IntValue(0);
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| 231 |
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| 232 | selector.Name = "Selector (placeholder)";
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| 233 | selector.OperatorParameter.ActualName = SelectorParameter.Name;
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| 234 |
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| 235 | childrenCreator.ParentsPerChild = new IntValue(2);
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| 236 |
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| 237 | crossover.Name = "Crossover (placeholder)";
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| 238 | crossover.OperatorParameter.ActualName = CrossoverParameter.Name;
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| 239 |
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| 240 | stochasticBranch.ProbabilityParameter.ActualName = MutationProbabilityParameter.Name;
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| 241 | //set it to the random number generator of the island
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| 242 | stochasticBranch.RandomParameter.ActualName = "LocalRandom";
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| 243 |
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| 244 | mutator.Name = "Mutator (placeholder)";
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| 245 | mutator.OperatorParameter.ActualName = MutatorParameter.Name;
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| 246 |
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| 247 | subScopesRemover.RemoveAllSubScopes = true;
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| 248 |
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| 249 | evaluator.Name = "Evaluator (placeholder)";
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| 250 | evaluator.OperatorParameter.ActualName = EvaluatorParameter.Name;
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| 251 |
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| 252 | subScopesCounter.Name = "Increment EvaluatedSolutions";
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| 253 | subScopesCounter.ValueParameter.ActualName = IslandEvaluatedSolutions.Name;
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| 254 |
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| 255 | bestSelector.CopySelected = new BoolValue(false);
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| 256 | bestSelector.MaximizationParameter.ActualName = MaximizationParameter.Name;
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| 257 | bestSelector.NumberOfSelectedSubScopesParameter.ActualName = ElitesParameter.Name;
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| 258 | bestSelector.QualityParameter.ActualName = QualityParameter.Name;
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| 259 |
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| 260 | islandGenerationsCounter.Name = "Increment island generatrions";
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| 261 | islandGenerationsCounter.ValueParameter.ActualName = IslandGenerations.Name;
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| 262 | islandGenerationsCounter.Increment = new IntValue(1);
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| 263 |
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| 264 | checkIslandGenerationsReachedMaximum.LeftSideParameter.ActualName = IslandGenerations.Name;
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| 265 | checkIslandGenerationsReachedMaximum.RightSideParameter.ActualName = MigrationIntervalParameter.Name;
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| 266 | checkIslandGenerationsReachedMaximum.Comparison = new Comparison(ComparisonType.GreaterOrEqual);
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| 267 | checkIslandGenerationsReachedMaximum.ResultParameter.ActualName = Migrate.Name;
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| 268 |
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| 269 | checkContinueEvolution.Name = "Migrate?";
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| 270 | checkContinueEvolution.ConditionParameter.ActualName = Migrate.Name;
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| 271 | checkContinueEvolution.FalseBranch = selector;
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| 272 |
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| 273 | islandAnalyzer2.Name = "Island Analyzer (placeholder)";
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| 274 | islandAnalyzer2.OperatorParameter.ActualName = IslandAnalyzerParameter.Name;
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| 275 |
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| 276 | generationsReducer.Name = "Increment Generations";
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| 277 | generationsReducer.ParameterToReduce.ActualName = islandGenerationsCounter.ValueParameter.ActualName;
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| 278 | generationsReducer.TargetParameter.ActualName = "Generations";
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| 279 | generationsReducer.ReductionOperation.Value = new ReductionOperation(ReductionOperations.Min);
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| 280 | generationsReducer.TargetOperation.Value = new ReductionOperation(ReductionOperations.Sum);
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| 281 |
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| 282 | evaluatedSolutionsReducer.Name = "Increment Evaluated Solutions";
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| 283 | evaluatedSolutionsReducer.ParameterToReduce.ActualName = IslandEvaluatedSolutions.Name;
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| 284 | evaluatedSolutionsReducer.TargetParameter.ActualName = EvaluatedSolutionsParameter.Name;
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| 285 | evaluatedSolutionsReducer.ReductionOperation.Value = new ReductionOperation(ReductionOperations.Sum);
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| 286 | evaluatedSolutionsReducer.TargetOperation.Value = new ReductionOperation(ReductionOperations.Sum);
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| 287 |
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| 288 | emigrantsSelector.Name = "Emigrants Selector (placeholder)";
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| 289 | emigrantsSelector.OperatorParameter.ActualName = EmigrantsSelectorParameter.Name;
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| 290 |
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| 291 | migrationsCounter.Name = "Increment number of Migrations";
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| 292 | migrationsCounter.ValueParameter.ActualName = "Migrations";
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| 293 | migrationsCounter.Increment = new IntValue(1);
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| 294 |
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| 295 | migrator.Name = "Migrator (placeholder)";
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| 296 | migrator.OperatorParameter.ActualName = MigratorParameter.Name;
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| 297 |
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| 298 | immigrationReplacer.Name = "Immigration Replacer (placeholder)";
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| 299 | immigrationReplacer.OperatorParameter.ActualName = ImmigrationReplacerParameter.Name;
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| 300 |
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| 301 | generationsComparator.Name = "Generations >= MaximumGenerations ?";
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| 302 | generationsComparator.Comparison = new Comparison(ComparisonType.GreaterOrEqual);
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| 303 | generationsComparator.LeftSideParameter.ActualName = "Generations";
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| 304 | generationsComparator.ResultParameter.ActualName = "TerminateGenerations";
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| 305 | generationsComparator.RightSideParameter.ActualName = MaximumGenerationsParameter.Name;
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| 306 |
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| 307 | analyzer2.Name = "Analyzer (placeholder)";
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| 308 | analyzer2.OperatorParameter.ActualName = AnalyzerParameter.Name;
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| 309 |
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| 310 | generationsTerminationCondition.Name = "Terminate?";
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| 311 | generationsTerminationCondition.ConditionParameter.ActualName = "TerminateGenerations";
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| 312 |
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| 313 | reevaluateElitesBranch.ConditionParameter.ActualName = "ReevaluateElites";
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| 314 | reevaluateElitesBranch.Name = "Reevaluate elites ?";
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| 315 | #endregion
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| 316 |
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| 317 | #region Create operator graph
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| 318 | OperatorGraph.InitialOperator = variableCreator;
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| 319 | variableCreator.Successor = uniformSubScopesProcessor0;
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| 320 | uniformSubScopesProcessor0.Operator = islandVariableCreator;
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| 321 | uniformSubScopesProcessor0.Successor = analyzer1;
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| 322 | islandVariableCreator.Successor = islandAnalyzer1;
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| 323 | // BackwardsCompatibility3.3
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| 324 | //the local randoms are created by the island GA itself and are only here to ensure same algorithm results
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| 325 | #region Backwards compatible code, remove local random creator with 3.4 and rewire the operator graph
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| 326 | islandAnalyzer1.Successor = localRandomCreator;
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| 327 | localRandomCreator.Successor = null;
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| 328 | #endregion
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| 329 | analyzer1.Successor = resultsCollector1;
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| 330 | resultsCollector1.Successor = uniformSubScopesProcessor1;
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| 331 | uniformSubScopesProcessor1.Operator = generationsAssigner;
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| 332 | uniformSubScopesProcessor1.Successor = generationsReducer;
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| 333 | generationsReducer.Successor = evaluatedSolutionsReducer;
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| 334 | evaluatedSolutionsReducer.Successor = migrationsCounter;
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| 335 | migrationsCounter.Successor = uniformSubScopesProcessor5;
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| 336 | generationsAssigner.Successor = evaluatedSolutionsAssigner;
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| 337 | evaluatedSolutionsAssigner.Successor = selector;
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| 338 | selector.Successor = subScopesProcessor1;
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| 339 | subScopesProcessor1.Operators.Add(new EmptyOperator());
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| 340 | subScopesProcessor1.Operators.Add(childrenCreator);
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| 341 | subScopesProcessor1.Successor = subScopesProcessor2;
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| 342 | childrenCreator.Successor = uniformSubScopesProcessor2;
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| 343 | uniformSubScopesProcessor2.Operator = crossover;
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| 344 | uniformSubScopesProcessor2.Successor = uniformSubScopesProcessor3;
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| 345 | crossover.Successor = stochasticBranch;
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| 346 | stochasticBranch.FirstBranch = mutator;
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| 347 | stochasticBranch.SecondBranch = null;
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| 348 | stochasticBranch.Successor = subScopesRemover;
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| 349 | mutator.Successor = null;
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| 350 | subScopesRemover.Successor = null;
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| 351 | uniformSubScopesProcessor3.Operator = evaluator;
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| 352 | uniformSubScopesProcessor3.Successor = subScopesCounter;
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| 353 | evaluator.Successor = null;
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| 354 | subScopesCounter.Successor = null;
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| 355 | subScopesProcessor2.Operators.Add(bestSelector);
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| 356 | subScopesProcessor2.Operators.Add(new EmptyOperator());
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| 357 | subScopesProcessor2.Successor = mergingReducer;
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| 358 | mergingReducer.Successor = islandAnalyzer2;
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| 359 | bestSelector.Successor = rightReducer;
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| 360 | rightReducer.Successor = reevaluateElitesBranch;
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| 361 | reevaluateElitesBranch.TrueBranch = uniformSubScopesProcessor3;
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| 362 | reevaluateElitesBranch.FalseBranch = null;
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| 363 | reevaluateElitesBranch.Successor = null;
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| 364 | islandAnalyzer2.Successor = islandGenerationsCounter;
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| 365 | islandGenerationsCounter.Successor = checkIslandGenerationsReachedMaximum;
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| 366 | checkIslandGenerationsReachedMaximum.Successor = checkContinueEvolution;
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| 367 | uniformSubScopesProcessor5.Operator = emigrantsSelector;
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| 368 | emigrantsSelector.Successor = null;
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| 369 | uniformSubScopesProcessor5.Successor = migrator;
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| 370 | migrator.Successor = uniformSubScopesProcessor6;
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| 371 | uniformSubScopesProcessor6.Operator = immigrationReplacer;
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| 372 | uniformSubScopesProcessor6.Successor = generationsComparator;
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| 373 | generationsComparator.Successor = analyzer2;
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| 374 | analyzer2.Successor = generationsTerminationCondition;
|
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| 375 | generationsTerminationCondition.TrueBranch = null;
|
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| 376 | generationsTerminationCondition.FalseBranch = uniformSubScopesProcessor1;
|
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| 377 | generationsTerminationCondition.Successor = null;
|
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| 378 | #endregion
|
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| 379 | }
|
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| 380 |
|
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| 381 | [StorableHook(HookType.AfterDeserialization)]
|
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| 382 | private void AfterDeserialization() {
|
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| 383 | if (!Parameters.ContainsKey("ReevaluateElites")) {
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| 384 | Parameters.Add(new ValueLookupParameter<BoolValue>("ReevaluateElites", "Flag to determine if elite individuals should be reevaluated (i.e., if stochastic fitness functions are used.)"));
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| 385 | }
|
|---|
| 386 | }
|
|---|
| 387 |
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| 388 | public override IOperation Apply() {
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| 389 | if (CrossoverParameter.ActualValue == null)
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| 390 | return null;
|
|---|
| 391 | return base.Apply();
|
|---|
| 392 | }
|
|---|
| 393 | }
|
|---|
| 394 | }
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