| 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 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 HEAL.Attic;
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| 30 | using HeuristicLab.Selection;
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| 31 |
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| 32 | namespace HeuristicLab.Algorithms.ALPS {
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| 33 |
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| 34 | [Item("AlpsOffspringSelectionGeneticAlgorithmMainLoop", "An ALPS offspring selection genetic algorithm main loop operator.")]
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| 35 | [StorableType("C8DF9B75-7008-405D-B38A-15C1C22110B0")]
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| 36 | public sealed class AlpsOffspringSelectionGeneticAlgorithmMainLoop : AlgorithmOperator {
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| 37 | #region Parameter Properties
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| 38 | public IValueLookupParameter<IRandom> GlobalRandomParameter {
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| 39 | get { return (IValueLookupParameter<IRandom>)Parameters["GlobalRandom"]; }
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| 40 | }
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| 41 | public IValueLookupParameter<IRandom> LocalRandomParameter {
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| 42 | get { return (IValueLookupParameter<IRandom>)Parameters["LocalRandom"]; }
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| 43 | }
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| 44 |
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| 45 | public IValueLookupParameter<IOperator> EvaluatorParameter {
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| 46 | get { return (IValueLookupParameter<IOperator>)Parameters["Evaluator"]; }
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| 47 | }
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| 48 | public IValueLookupParameter<IntValue> EvaluatedSolutionsParameter {
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| 49 | get { return (IValueLookupParameter<IntValue>)Parameters["EvaluatedSolutions"]; }
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| 50 | }
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| 51 | public IScopeTreeLookupParameter<DoubleValue> QualityParameter {
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| 52 | get { return (IScopeTreeLookupParameter<DoubleValue>)Parameters["Quality"]; }
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| 53 | }
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| 54 | public IValueLookupParameter<BoolValue> MaximizationParameter {
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| 55 | get { return (IValueLookupParameter<BoolValue>)Parameters["Maximization"]; }
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| 56 | }
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| 57 |
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| 58 | public ILookupParameter<IOperator> AnalyzerParameter {
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| 59 | get { return (ILookupParameter<IOperator>)Parameters["Analyzer"]; }
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| 60 | }
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| 61 | public ILookupParameter<IOperator> LayerAnalyzerParameter {
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| 62 | get { return (ILookupParameter<IOperator>)Parameters["LayerAnalyzer"]; }
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| 63 | }
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| 64 |
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| 65 | public IValueLookupParameter<IntValue> NumberOfLayersParameter {
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| 66 | get { return (IValueLookupParameter<IntValue>)Parameters["NumberOfLayers"]; }
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| 67 | }
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| 68 | public IValueLookupParameter<IntValue> PopulationSizeParameter {
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| 69 | get { return (IValueLookupParameter<IntValue>)Parameters["PopulationSize"]; }
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| 70 | }
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| 71 | public ILookupParameter<IntValue> CurrentPopulationSizeParameter {
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| 72 | get { return (ILookupParameter<IntValue>)Parameters["CurrentPopulationSize"]; }
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| 73 | }
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| 74 |
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| 75 | public IValueLookupParameter<IOperator> SelectorParameter {
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| 76 | get { return (IValueLookupParameter<IOperator>)Parameters["Selector"]; }
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| 77 | }
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| 78 | public IValueLookupParameter<IOperator> CrossoverParameter {
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| 79 | get { return (IValueLookupParameter<IOperator>)Parameters["Crossover"]; }
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| 80 | }
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| 81 | public IValueLookupParameter<IOperator> MutatorParameter {
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| 82 | get { return (IValueLookupParameter<IOperator>)Parameters["Mutator"]; }
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| 83 | }
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| 84 | public IValueLookupParameter<PercentValue> MutationProbabilityParameter {
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| 85 | get { return (IValueLookupParameter<PercentValue>)Parameters["MutationProbability"]; }
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| 86 | }
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| 87 | public IValueLookupParameter<IntValue> ElitesParameter {
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| 88 | get { return (IValueLookupParameter<IntValue>)Parameters["Elites"]; }
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| 89 | }
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| 90 | public IValueLookupParameter<BoolValue> ReevaluateElitesParameter {
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| 91 | get { return (IValueLookupParameter<BoolValue>)Parameters["ReevaluateElites"]; }
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| 92 | }
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| 93 |
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| 94 | public IValueLookupParameter<DoubleValue> SuccessRatioParameter {
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| 95 | get { return (IValueLookupParameter<DoubleValue>)Parameters["SuccessRatio"]; }
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| 96 | }
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| 97 | public ILookupParameter<DoubleValue> ComparisonFactorParameter {
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| 98 | get { return (ILookupParameter<DoubleValue>)Parameters["ComparisonFactor"]; }
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| 99 | }
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| 100 | public IValueLookupParameter<DoubleValue> MaximumSelectionPressureParameter {
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| 101 | get { return (IValueLookupParameter<DoubleValue>)Parameters["MaximumSelectionPressure"]; }
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| 102 | }
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| 103 | public IValueLookupParameter<BoolValue> OffspringSelectionBeforeMutationParameter {
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| 104 | get { return (IValueLookupParameter<BoolValue>)Parameters["OffspringSelectionBeforeMutation"]; }
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| 105 | }
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| 106 | public IValueLookupParameter<BoolValue> FillPopulationWithParentsParameter {
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| 107 | get { return (IValueLookupParameter<BoolValue>)Parameters["FillPopulationWithParents"]; }
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| 108 | }
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| 109 |
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| 110 | public IScopeTreeLookupParameter<DoubleValue> AgeParameter {
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| 111 | get { return (IScopeTreeLookupParameter<DoubleValue>)Parameters["Age"]; }
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| 112 | }
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| 113 | public IValueLookupParameter<IntValue> AgeGapParameter {
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| 114 | get { return (IValueLookupParameter<IntValue>)Parameters["AgeGap"]; }
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| 115 | }
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| 116 | public IValueLookupParameter<DoubleValue> AgeInheritanceParameter {
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| 117 | get { return (IValueLookupParameter<DoubleValue>)Parameters["AgeInheritance"]; }
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| 118 | }
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| 119 | public IValueLookupParameter<IntArray> AgeLimitsParameter {
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| 120 | get { return (IValueLookupParameter<IntArray>)Parameters["AgeLimits"]; }
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| 121 | }
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| 122 |
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| 123 | public IValueLookupParameter<IntValue> MatingPoolRangeParameter {
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| 124 | get { return (IValueLookupParameter<IntValue>)Parameters["MatingPoolRange"]; }
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| 125 | }
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| 126 | public IValueLookupParameter<BoolValue> ReduceToPopulationSizeParameter {
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| 127 | get { return (IValueLookupParameter<BoolValue>)Parameters["ReduceToPopulationSize"]; }
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| 128 | }
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| 129 |
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| 130 | public IValueLookupParameter<IOperator> TerminatorParameter {
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| 131 | get { return (IValueLookupParameter<IOperator>)Parameters["Terminator"]; }
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| 132 | }
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| 133 | #endregion
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| 134 |
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| 135 | [StorableConstructor]
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| 136 | private AlpsOffspringSelectionGeneticAlgorithmMainLoop(StorableConstructorFlag _) : base(_) { }
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| 137 | private AlpsOffspringSelectionGeneticAlgorithmMainLoop(AlpsOffspringSelectionGeneticAlgorithmMainLoop original, Cloner cloner)
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| 138 | : base(original, cloner) { }
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| 139 | public override IDeepCloneable Clone(Cloner cloner) {
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| 140 | return new AlpsOffspringSelectionGeneticAlgorithmMainLoop(this, cloner);
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| 141 | }
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| 142 | public AlpsOffspringSelectionGeneticAlgorithmMainLoop()
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| 143 | : base() {
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| 144 | Parameters.Add(new ValueLookupParameter<IRandom>("GlobalRandom", "A pseudo random number generator."));
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| 145 | Parameters.Add(new ValueLookupParameter<IRandom>("LocalRandom", "A pseudo random number generator."));
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| 146 |
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| 147 | Parameters.Add(new ValueLookupParameter<IOperator>("Evaluator", "The operator used to evaluate solutions. This operator is executed in parallel, if an engine is used which supports parallelization."));
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| 148 | Parameters.Add(new ValueLookupParameter<IntValue>("EvaluatedSolutions", "The number of times solutions have been evaluated."));
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| 149 | Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("Quality", "The value which represents the quality of a solution."));
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| 150 | Parameters.Add(new ValueLookupParameter<BoolValue>("Maximization", "True if the problem is a maximization problem, otherwise false."));
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| 151 |
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| 152 | Parameters.Add(new ValueLookupParameter<IOperator>("Analyzer", "The operator used to analyze all individuals from all layers combined."));
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| 153 | Parameters.Add(new ValueLookupParameter<IOperator>("LayerAnalyzer", "The operator used to analyze each layer."));
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| 154 |
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| 155 | Parameters.Add(new ValueLookupParameter<IntValue>("NumberOfLayers", "The number of layers."));
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| 156 | Parameters.Add(new ValueLookupParameter<IntValue>("PopulationSize", "The size of the population of solutions in each layer."));
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| 157 | Parameters.Add(new LookupParameter<IntValue>("CurrentPopulationSize", "The current size of the population."));
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| 158 |
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| 159 | Parameters.Add(new ValueLookupParameter<IOperator>("Selector", "The operator used to select solutions for reproduction."));
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| 160 | Parameters.Add(new ValueLookupParameter<IOperator>("Crossover", "The operator used to cross solutions."));
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| 161 | Parameters.Add(new ValueLookupParameter<IOperator>("Mutator", "The operator used to mutate solutions."));
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| 162 | Parameters.Add(new ValueLookupParameter<PercentValue>("MutationProbability", "The probability that the mutation operator is applied on a solution."));
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| 163 | Parameters.Add(new ValueLookupParameter<IntValue>("Elites", "The numer of elite solutions which are kept in each generation."));
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| 164 | 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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| 165 |
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| 166 | Parameters.Add(new ValueLookupParameter<DoubleValue>("SuccessRatio", "The ratio of successful to total children that should be achieved."));
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| 167 | Parameters.Add(new ValueLookupParameter<DoubleValue>("ComparisonFactor", "The comparison factor is used to determine whether the offspring should be compared to the better parent, the worse parent or a quality value linearly interpolated between them. It is in the range [0;1]."));
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| 168 | Parameters.Add(new ValueLookupParameter<DoubleValue>("MaximumSelectionPressure", "The maximum selection pressure that terminates the algorithm."));
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| 169 | Parameters.Add(new ValueLookupParameter<BoolValue>("OffspringSelectionBeforeMutation", "True if the offspring selection step should be applied before mutation, false if it should be applied after mutation."));
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| 170 | Parameters.Add(new ValueLookupParameter<BoolValue>("FillPopulationWithParents", "True if the population should be filled with parent individual or false if worse children should be used when the maximum selection pressure is exceeded."));
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| 171 |
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| 172 | Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("Age", "The age of individuals."));
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| 173 | Parameters.Add(new ValueLookupParameter<IntValue>("AgeGap", "The frequency of reseeding the lowest layer and scaling factor for the age-limits for the layers."));
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| 174 | Parameters.Add(new ValueLookupParameter<DoubleValue>("AgeInheritance", "A weight that determines the age of a child after crossover based on the older (1.0) and younger (0.0) parent."));
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| 175 | Parameters.Add(new ValueLookupParameter<IntArray>("AgeLimits", "The maximum age an individual is allowed to reach in a certain layer."));
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| 176 |
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| 177 | Parameters.Add(new ValueLookupParameter<IntValue>("MatingPoolRange", "The range of sub - populations used for creating a mating pool. (1 = current + previous sub-population)"));
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| 178 | Parameters.Add(new ValueLookupParameter<BoolValue>("ReduceToPopulationSize", "Reduce the CurrentPopulationSize after elder migration to PopulationSize"));
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| 179 |
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| 180 | Parameters.Add(new ValueLookupParameter<IOperator>("Terminator", "The termination criteria that defines if the algorithm should continue or stop"));
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| 181 |
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| 182 |
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| 183 | var variableCreator = new VariableCreator() { Name = "Initialize" };
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| 184 | var initLayerAnalyzerProcessor = new SubScopesProcessor();
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| 185 | var layerVariableCreator = new VariableCreator() { Name = "Initialize Layer" };
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| 186 | var initLayerAnalyzerPlaceholder = new Placeholder() { Name = "LayerAnalyzer (Placeholder)" };
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| 187 | var layerResultCollector = new ResultsCollector() { Name = "Collect layer results" };
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| 188 | var initAnalyzerPlaceholder = new Placeholder() { Name = "Analyzer (Placeholder)" };
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| 189 | var resultsCollector = new ResultsCollector();
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| 190 | var matingPoolCreator = new MatingPoolCreator() { Name = "Create Mating Pools" };
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| 191 | var matingPoolProcessor = new UniformSubScopesProcessor() { Name = "Process Mating Pools" };
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| 192 | var initializeLayer = new Assigner() { Name = "Reset LayerEvaluatedSolutions" };
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| 193 | var mainOperator = new AlpsOffspringSelectionGeneticAlgorithmMainOperator();
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| 194 | var generationsIcrementor = new IntCounter() { Name = "Increment Generations" };
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| 195 | var evaluatedSolutionsReducer = new DataReducer() { Name = "Increment EvaluatedSolutions" };
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| 196 | var eldersEmigrator = CreateEldersEmigrator();
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| 197 | var layerOpener = CreateLayerOpener();
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| 198 | var layerReseeder = CreateReseeder();
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| 199 | var layerAnalyzerProcessor = new UniformSubScopesProcessor();
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| 200 | var layerAnalyzerPlaceholder = new Placeholder() { Name = "LayerAnalyzer (Placeholder)" };
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| 201 | var analyzerPlaceholder = new Placeholder() { Name = "Analyzer (Placeholder)" };
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| 202 | var termination = new TerminationOperator();
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| 203 |
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| 204 | OperatorGraph.InitialOperator = variableCreator;
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| 205 |
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| 206 | variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("Generations", new IntValue(0)));
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| 207 | variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("OpenLayers", new IntValue(1)));
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| 208 | variableCreator.Successor = initLayerAnalyzerProcessor;
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| 209 |
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| 210 | initLayerAnalyzerProcessor.Operators.Add(layerVariableCreator);
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| 211 | initLayerAnalyzerProcessor.Successor = initAnalyzerPlaceholder;
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| 212 |
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| 213 | layerVariableCreator.CollectedValues.Add(new ValueParameter<IntValue>("Layer", new IntValue(0)));
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| 214 | layerVariableCreator.CollectedValues.Add(new ValueParameter<ResultCollection>("LayerResults"));
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| 215 | layerVariableCreator.CollectedValues.Add(new ValueParameter<DoubleValue>("SelectionPressure", new DoubleValue(0)));
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| 216 | layerVariableCreator.CollectedValues.Add(new ValueParameter<DoubleValue>("CurrentSuccessRatio", new DoubleValue(0)));
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| 217 | layerVariableCreator.Successor = initLayerAnalyzerPlaceholder;
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| 218 |
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| 219 | initLayerAnalyzerPlaceholder.OperatorParameter.ActualName = LayerAnalyzerParameter.Name;
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| 220 | initLayerAnalyzerPlaceholder.Successor = layerResultCollector;
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| 221 |
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| 222 | layerResultCollector.ResultsParameter.ActualName = "LayerResults";
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| 223 | layerResultCollector.CollectedValues.Add(new LookupParameter<DoubleValue>("Current Selection Pressure", "Displays the rising selection pressure during a generation.", "SelectionPressure"));
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| 224 | layerResultCollector.CollectedValues.Add(new LookupParameter<DoubleValue>("Current Success Ratio", "Indicates how many successful children were already found during a generation (relative to the population size).", "CurrentSuccessRatio"));
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| 225 | layerResultCollector.Successor = null;
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| 226 |
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| 227 | initAnalyzerPlaceholder.OperatorParameter.ActualName = AnalyzerParameter.Name;
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| 228 | initAnalyzerPlaceholder.Successor = resultsCollector;
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| 229 |
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| 230 | resultsCollector.CollectedValues.Add(new LookupParameter<IntValue>("Generations"));
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| 231 | resultsCollector.CollectedValues.Add(new ScopeTreeLookupParameter<ResultCollection>("LayerResults", "Result set for each Layer", "LayerResults"));
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| 232 | resultsCollector.CollectedValues.Add(new LookupParameter<IntValue>("OpenLayers"));
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| 233 | resultsCollector.CopyValue = new BoolValue(false);
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| 234 | resultsCollector.Successor = matingPoolCreator;
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| 235 |
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| 236 | matingPoolCreator.MatingPoolRangeParameter.Value = null;
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| 237 | matingPoolCreator.MatingPoolRangeParameter.ActualName = MatingPoolRangeParameter.Name;
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| 238 | matingPoolCreator.Successor = matingPoolProcessor;
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| 239 |
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| 240 | matingPoolProcessor.Parallel.Value = true;
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| 241 | matingPoolProcessor.Operator = initializeLayer;
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| 242 | matingPoolProcessor.Successor = generationsIcrementor;
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| 243 |
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| 244 | initializeLayer.LeftSideParameter.ActualName = "LayerEvaluatedSolutions";
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| 245 | initializeLayer.RightSideParameter.Value = new IntValue(0);
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| 246 | initializeLayer.Successor = mainOperator;
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| 247 |
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| 248 | mainOperator.RandomParameter.ActualName = LocalRandomParameter.Name;
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| 249 | mainOperator.EvaluatorParameter.ActualName = EvaluatorParameter.Name;
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| 250 | mainOperator.EvaluatedSolutionsParameter.ActualName = "LayerEvaluatedSolutions";
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| 251 | mainOperator.QualityParameter.ActualName = QualityParameter.Name;
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| 252 | mainOperator.MaximizationParameter.ActualName = MaximizationParameter.Name;
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| 253 | mainOperator.PopulationSizeParameter.ActualName = PopulationSizeParameter.Name;
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| 254 | mainOperator.SelectorParameter.ActualName = SelectorParameter.Name;
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| 255 | mainOperator.CrossoverParameter.ActualName = CrossoverParameter.Name;
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| 256 | mainOperator.MutatorParameter.ActualName = MutatorParameter.ActualName;
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| 257 | mainOperator.MutationProbabilityParameter.ActualName = MutationProbabilityParameter.Name;
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| 258 | mainOperator.ElitesParameter.ActualName = ElitesParameter.Name;
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| 259 | mainOperator.ReevaluateElitesParameter.ActualName = ReevaluateElitesParameter.Name;
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| 260 | mainOperator.ComparisonFactorParameter.ActualName = ComparisonFactorParameter.Name;
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| 261 | mainOperator.SuccessRatioParameter.ActualName = SuccessRatioParameter.Name;
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| 262 | mainOperator.CurrentSuccessRatioParameter.ActualName = "CurrentSuccessRatio";
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| 263 | mainOperator.SelectionPressureParameter.ActualName = "SelectionPressure";
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| 264 | mainOperator.MaximumSelectionPressureParameter.ActualName = MaximumSelectionPressureParameter.Name;
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| 265 | mainOperator.OffspringSelectionBeforeMutationParameter.ActualName = OffspringSelectionBeforeMutationParameter.Name;
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| 266 | mainOperator.FillPopulationWithParentsParameter.ActualName = FillPopulationWithParentsParameter.Name;
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| 267 | mainOperator.AgeParameter.ActualName = AgeParameter.Name;
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| 268 | mainOperator.AgeInheritanceParameter.ActualName = AgeInheritanceParameter.Name;
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| 269 | mainOperator.AgeIncrementParameter.Value = new DoubleValue(1.0);
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| 270 | mainOperator.Successor = null;
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| 271 |
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| 272 | generationsIcrementor.ValueParameter.ActualName = "Generations";
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| 273 | generationsIcrementor.Increment = new IntValue(1);
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| 274 | generationsIcrementor.Successor = evaluatedSolutionsReducer;
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| 275 |
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| 276 | evaluatedSolutionsReducer.ParameterToReduce.ActualName = "LayerEvaluatedSolutions";
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| 277 | evaluatedSolutionsReducer.TargetParameter.ActualName = EvaluatedSolutionsParameter.Name;
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| 278 | evaluatedSolutionsReducer.ReductionOperation.Value = new ReductionOperation(ReductionOperations.Sum);
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| 279 | evaluatedSolutionsReducer.TargetOperation.Value = new ReductionOperation(ReductionOperations.Sum);
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| 280 | evaluatedSolutionsReducer.Successor = eldersEmigrator;
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| 281 |
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| 282 | eldersEmigrator.Successor = layerOpener;
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| 283 |
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| 284 | layerOpener.Successor = layerReseeder;
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| 285 |
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| 286 | layerReseeder.Successor = layerAnalyzerProcessor;
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| 287 |
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| 288 | layerAnalyzerProcessor.Operator = layerAnalyzerPlaceholder;
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| 289 | layerAnalyzerProcessor.Successor = analyzerPlaceholder;
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| 290 |
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| 291 | layerAnalyzerPlaceholder.OperatorParameter.ActualName = LayerAnalyzerParameter.Name;
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| 292 |
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| 293 | analyzerPlaceholder.OperatorParameter.ActualName = AnalyzerParameter.Name;
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| 294 | analyzerPlaceholder.Successor = termination;
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| 295 |
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| 296 | termination.TerminatorParameter.ActualName = TerminatorParameter.Name;
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| 297 | termination.ContinueBranch = matingPoolCreator;
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| 298 | }
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| 299 |
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| 300 | private CombinedOperator CreateEldersEmigrator() {
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| 301 | var eldersEmigrator = new CombinedOperator() { Name = "Emigrate Elders" };
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| 302 | var selectorProsessor = new UniformSubScopesProcessor();
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| 303 | var eldersSelector = new EldersSelector();
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| 304 | var shiftToRightMigrator = new UnidirectionalRingMigrator() { Name = "Shift elders to next layer" };
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| 305 | var mergingProsessor = new UniformSubScopesProcessor();
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| 306 | var mergingReducer = new MergingReducer();
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| 307 | var subScopesCounter = new SubScopesCounter();
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| 308 | var reduceToPopulationSizeBranch = new ConditionalBranch() { Name = "ReduceToPopulationSize?" };
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| 309 | var countCalculator = new ExpressionCalculator() { Name = "CurrentPopulationSize = Min(CurrentPopulationSize, PopulationSize)" };
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| 310 | var bestSelector = new BestSelector();
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| 311 | var rightReducer = new RightReducer();
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| 312 |
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| 313 | eldersEmigrator.OperatorGraph.InitialOperator = selectorProsessor;
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| 314 |
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| 315 | selectorProsessor.Operator = eldersSelector;
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| 316 | selectorProsessor.Successor = shiftToRightMigrator;
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| 317 |
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| 318 | eldersSelector.AgeParameter.ActualName = AgeParameter.Name;
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| 319 | eldersSelector.AgeLimitsParameter.ActualName = AgeLimitsParameter.Name;
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| 320 | eldersSelector.NumberOfLayersParameter.ActualName = NumberOfLayersParameter.Name;
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| 321 | eldersSelector.LayerParameter.ActualName = "Layer";
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| 322 | eldersSelector.Successor = null;
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| 323 |
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| 324 | shiftToRightMigrator.ClockwiseMigrationParameter.Value = new BoolValue(true);
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| 325 | shiftToRightMigrator.Successor = mergingProsessor;
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| 326 |
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| 327 | mergingProsessor.Operator = mergingReducer;
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| 328 |
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| 329 | mergingReducer.Successor = subScopesCounter;
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| 330 |
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| 331 | subScopesCounter.ValueParameter.ActualName = CurrentPopulationSizeParameter.Name;
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| 332 | subScopesCounter.AccumulateParameter.Value = new BoolValue(false);
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| 333 | subScopesCounter.Successor = reduceToPopulationSizeBranch;
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| 334 |
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| 335 | reduceToPopulationSizeBranch.ConditionParameter.ActualName = ReduceToPopulationSizeParameter.Name;
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| 336 | reduceToPopulationSizeBranch.TrueBranch = countCalculator;
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| 337 |
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| 338 | countCalculator.CollectedValues.Add(new LookupParameter<IntValue>(PopulationSizeParameter.Name));
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| 339 | countCalculator.CollectedValues.Add(new LookupParameter<IntValue>(CurrentPopulationSizeParameter.Name));
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| 340 | countCalculator.ExpressionParameter.Value = new StringValue("CurrentPopulationSize PopulationSize CurrentPopulationSize PopulationSize < if toint");
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| 341 | countCalculator.ExpressionResultParameter.ActualName = CurrentPopulationSizeParameter.Name;
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| 342 | countCalculator.Successor = bestSelector;
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| 343 |
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| 344 | bestSelector.NumberOfSelectedSubScopesParameter.ActualName = CurrentPopulationSizeParameter.Name;
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| 345 | bestSelector.CopySelected = new BoolValue(false);
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| 346 | bestSelector.Successor = rightReducer;
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| 347 |
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| 348 | return eldersEmigrator;
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| 349 | }
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| 350 |
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| 351 | private CombinedOperator CreateLayerOpener() {
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| 352 | var layerOpener = new CombinedOperator() { Name = "Open new Layer if needed" };
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| 353 | var maxLayerReached = new Comparator() { Name = "MaxLayersReached = OpenLayers >= NumberOfLayers" };
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| 354 | var maxLayerReachedBranch = new ConditionalBranch() { Name = "MaxLayersReached?" };
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| 355 | var openNewLayerCalculator = new ExpressionCalculator() { Name = "OpenNewLayer = Generations >= AgeLimits[OpenLayers - 1]" };
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| 356 | var openNewLayerBranch = new ConditionalBranch() { Name = "OpenNewLayer?" };
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| 357 | var layerCreator = new LastLayerCloner() { Name = "Create Layer" };
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| 358 | var updateLayerNumber = new Assigner() { Name = "Layer = OpenLayers" };
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| 359 | var historyWiper = new ResultsHistoryWiper() { Name = "Clear History in Results" };
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| 360 | var createChildrenViaCrossover = new AlpsOffspringSelectionGeneticAlgorithmMainOperator();
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| 361 | var incrEvaluatedSolutionsForNewLayer = new SubScopesCounter() { Name = "Update EvaluatedSolutions" };
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| 362 | var incrOpenLayers = new IntCounter() { Name = "Incr. OpenLayers" };
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| 363 | var newLayerResultsCollector = new ResultsCollector() { Name = "Collect new Layer Results" };
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| 364 |
|
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| 365 | layerOpener.OperatorGraph.InitialOperator = maxLayerReached;
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| 366 |
|
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| 367 | maxLayerReached.LeftSideParameter.ActualName = "OpenLayers";
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| 368 | maxLayerReached.RightSideParameter.ActualName = NumberOfLayersParameter.Name;
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| 369 | maxLayerReached.ResultParameter.ActualName = "MaxLayerReached";
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| 370 | maxLayerReached.Comparison = new Comparison(ComparisonType.GreaterOrEqual);
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| 371 | maxLayerReached.Successor = maxLayerReachedBranch;
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| 372 |
|
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| 373 | maxLayerReachedBranch.ConditionParameter.ActualName = "MaxLayerReached";
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| 374 | maxLayerReachedBranch.FalseBranch = openNewLayerCalculator;
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| 375 |
|
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| 376 | openNewLayerCalculator.CollectedValues.Add(new LookupParameter<IntArray>(AgeLimitsParameter.Name));
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| 377 | openNewLayerCalculator.CollectedValues.Add(new LookupParameter<IntValue>("Generations"));
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| 378 | openNewLayerCalculator.CollectedValues.Add(new LookupParameter<IntValue>(NumberOfLayersParameter.Name));
|
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| 379 | openNewLayerCalculator.CollectedValues.Add(new LookupParameter<IntValue>("OpenLayers"));
|
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| 380 | openNewLayerCalculator.ExpressionResultParameter.ActualName = "OpenNewLayer";
|
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| 381 | openNewLayerCalculator.ExpressionParameter.Value = new StringValue("Generations 1 + AgeLimits OpenLayers 1 - [] >");
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| 382 | openNewLayerCalculator.Successor = openNewLayerBranch;
|
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| 383 |
|
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| 384 | openNewLayerBranch.ConditionParameter.ActualName = "OpenNewLayer";
|
|---|
| 385 | openNewLayerBranch.TrueBranch = layerCreator;
|
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| 386 |
|
|---|
| 387 | layerCreator.NewLayerOperator = updateLayerNumber;
|
|---|
| 388 | layerCreator.Successor = incrOpenLayers;
|
|---|
| 389 |
|
|---|
| 390 | updateLayerNumber.LeftSideParameter.ActualName = "Layer";
|
|---|
| 391 | updateLayerNumber.RightSideParameter.ActualName = "OpenLayers";
|
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| 392 | updateLayerNumber.Successor = historyWiper;
|
|---|
| 393 |
|
|---|
| 394 | historyWiper.ResultsParameter.ActualName = "LayerResults";
|
|---|
| 395 | historyWiper.Successor = createChildrenViaCrossover;
|
|---|
| 396 |
|
|---|
| 397 | // Maybe use only crossover and no elitism instead of "default operator"
|
|---|
| 398 | createChildrenViaCrossover.RandomParameter.ActualName = LocalRandomParameter.Name;
|
|---|
| 399 | createChildrenViaCrossover.EvaluatorParameter.ActualName = EvaluatorParameter.Name;
|
|---|
| 400 | createChildrenViaCrossover.EvaluatedSolutionsParameter.ActualName = "LayerEvaluatedSolutions";
|
|---|
| 401 | createChildrenViaCrossover.QualityParameter.ActualName = QualityParameter.Name;
|
|---|
| 402 | createChildrenViaCrossover.MaximizationParameter.ActualName = MaximizationParameter.Name;
|
|---|
| 403 | createChildrenViaCrossover.PopulationSizeParameter.ActualName = PopulationSizeParameter.Name;
|
|---|
| 404 | createChildrenViaCrossover.SelectorParameter.ActualName = SelectorParameter.Name;
|
|---|
| 405 | createChildrenViaCrossover.CrossoverParameter.ActualName = CrossoverParameter.Name;
|
|---|
| 406 | createChildrenViaCrossover.MutatorParameter.ActualName = MutatorParameter.ActualName;
|
|---|
| 407 | createChildrenViaCrossover.MutationProbabilityParameter.ActualName = MutationProbabilityParameter.Name;
|
|---|
| 408 | createChildrenViaCrossover.ElitesParameter.ActualName = ElitesParameter.Name;
|
|---|
| 409 | createChildrenViaCrossover.ReevaluateElitesParameter.ActualName = ReevaluateElitesParameter.Name;
|
|---|
| 410 | createChildrenViaCrossover.ComparisonFactorParameter.ActualName = ComparisonFactorParameter.Name;
|
|---|
| 411 | createChildrenViaCrossover.SuccessRatioParameter.ActualName = SuccessRatioParameter.Name;
|
|---|
| 412 | createChildrenViaCrossover.CurrentSuccessRatioParameter.ActualName = "CurrentSuccessRatio";
|
|---|
| 413 | createChildrenViaCrossover.SelectionPressureParameter.ActualName = "SelectionPressure";
|
|---|
| 414 | createChildrenViaCrossover.MaximumSelectionPressureParameter.ActualName = MaximumSelectionPressureParameter.Name;
|
|---|
| 415 | createChildrenViaCrossover.OffspringSelectionBeforeMutationParameter.ActualName = OffspringSelectionBeforeMutationParameter.Name;
|
|---|
| 416 | createChildrenViaCrossover.FillPopulationWithParentsParameter.ActualName = FillPopulationWithParentsParameter.Name;
|
|---|
| 417 | createChildrenViaCrossover.AgeParameter.ActualName = AgeParameter.Name;
|
|---|
| 418 | createChildrenViaCrossover.AgeInheritanceParameter.ActualName = AgeInheritanceParameter.Name;
|
|---|
| 419 | createChildrenViaCrossover.AgeIncrementParameter.Value = new DoubleValue(0.0);
|
|---|
| 420 | createChildrenViaCrossover.Successor = incrEvaluatedSolutionsForNewLayer;
|
|---|
| 421 |
|
|---|
| 422 | incrEvaluatedSolutionsForNewLayer.ValueParameter.ActualName = EvaluatedSolutionsParameter.Name;
|
|---|
| 423 | incrEvaluatedSolutionsForNewLayer.AccumulateParameter.Value = new BoolValue(true);
|
|---|
| 424 |
|
|---|
| 425 | incrOpenLayers.ValueParameter.ActualName = "OpenLayers";
|
|---|
| 426 | incrOpenLayers.Increment = new IntValue(1);
|
|---|
| 427 | incrOpenLayers.Successor = newLayerResultsCollector;
|
|---|
| 428 |
|
|---|
| 429 | newLayerResultsCollector.CollectedValues.Add(new ScopeTreeLookupParameter<ResultCollection>("LayerResults", "Result set for each layer", "LayerResults"));
|
|---|
| 430 | newLayerResultsCollector.CopyValue = new BoolValue(false);
|
|---|
| 431 | newLayerResultsCollector.Successor = null;
|
|---|
| 432 |
|
|---|
| 433 | return layerOpener;
|
|---|
| 434 | }
|
|---|
| 435 |
|
|---|
| 436 | private CombinedOperator CreateReseeder() {
|
|---|
| 437 | var reseeder = new CombinedOperator() { Name = "Reseed Layer Zero if needed" };
|
|---|
| 438 | var reseedingController = new ReseedingController() { Name = "Reseeding needed (Generation % AgeGap == 0)?" };
|
|---|
| 439 | var removeIndividuals = new SubScopesRemover();
|
|---|
| 440 | var createIndividuals = new SolutionsCreator();
|
|---|
| 441 | var initializeAgeProsessor = new UniformSubScopesProcessor();
|
|---|
| 442 | var initializeAge = new VariableCreator() { Name = "Initialize Age" };
|
|---|
| 443 | var incrEvaluatedSolutionsAfterReseeding = new SubScopesCounter() { Name = "Update EvaluatedSolutions" };
|
|---|
| 444 |
|
|---|
| 445 | reseeder.OperatorGraph.InitialOperator = reseedingController;
|
|---|
| 446 |
|
|---|
| 447 | reseedingController.GenerationsParameter.ActualName = "Generations";
|
|---|
| 448 | reseedingController.AgeGapParameter.ActualName = AgeGapParameter.Name;
|
|---|
| 449 | reseedingController.FirstLayerOperator = removeIndividuals;
|
|---|
| 450 | reseedingController.Successor = null;
|
|---|
| 451 |
|
|---|
| 452 | removeIndividuals.Successor = createIndividuals;
|
|---|
| 453 |
|
|---|
| 454 | createIndividuals.NumberOfSolutionsParameter.ActualName = PopulationSizeParameter.Name;
|
|---|
| 455 | createIndividuals.Successor = initializeAgeProsessor;
|
|---|
| 456 |
|
|---|
| 457 | initializeAgeProsessor.Operator = initializeAge;
|
|---|
| 458 | initializeAgeProsessor.Successor = incrEvaluatedSolutionsAfterReseeding;
|
|---|
| 459 |
|
|---|
| 460 | initializeAge.CollectedValues.Add(new ValueParameter<DoubleValue>(AgeParameter.Name, new DoubleValue(0)));
|
|---|
| 461 |
|
|---|
| 462 | incrEvaluatedSolutionsAfterReseeding.ValueParameter.ActualName = EvaluatedSolutionsParameter.Name;
|
|---|
| 463 | incrEvaluatedSolutionsAfterReseeding.AccumulateParameter.Value = new BoolValue(true);
|
|---|
| 464 |
|
|---|
| 465 | return reseeder;
|
|---|
| 466 | }
|
|---|
| 467 | }
|
|---|
| 468 | } |
|---|
