| 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 | using HeuristicLab.Algorithms.OESRALPS.SlidingWindow.Operator;
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| 32 | using HeuristicLab.PluginInfrastructure;
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| 33 | using HeuristicLab.Algorithms.OESRALPS.Analyzers;
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| 34 | using System.Linq;
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| 35 |
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| 36 | namespace HeuristicLab.Algorithms.OESRALPS {
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| 37 |
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| 38 | [Item("AlpsGeneticAlgorithmMainLoop", "An open ended ALPS genetic algorithm main loop operator.")]
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| 39 | [StorableType("87678F8F-29BE-4A80-8976-084EE6C7041B")]
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| 40 | public sealed class AlpsGeneticAlgorithmMainLoop : AlgorithmOperator {
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| 41 | #region Parameter Properties
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| 42 | public IValueLookupParameter<IRandom> GlobalRandomParameter {
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| 43 | get { return (IValueLookupParameter<IRandom>)Parameters["GlobalRandom"]; }
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| 44 | }
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| 45 | public IValueLookupParameter<IRandom> LocalRandomParameter {
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| 46 | get { return (IValueLookupParameter<IRandom>)Parameters["LocalRandom"]; }
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| 47 | }
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| 48 |
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| 49 | public IValueLookupParameter<IOperator> EvaluatorParameter {
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| 50 | get { return (IValueLookupParameter<IOperator>)Parameters["Evaluator"]; }
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| 51 | }
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| 52 | public IValueLookupParameter<IntValue> EvaluatedSolutionsParameter {
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| 53 | get { return (IValueLookupParameter<IntValue>)Parameters["EvaluatedSolutions"]; }
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| 54 | }
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| 55 | public IScopeTreeLookupParameter<DoubleValue> QualityParameter {
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| 56 | get { return (IScopeTreeLookupParameter<DoubleValue>)Parameters["Quality"]; }
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| 57 | }
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| 58 | public IValueLookupParameter<BoolValue> MaximizationParameter {
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| 59 | get { return (IValueLookupParameter<BoolValue>)Parameters["Maximization"]; }
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| 60 | }
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| 61 |
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| 62 | public ILookupParameter<IOperator> AnalyzerParameter {
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| 63 | get { return (ILookupParameter<IOperator>)Parameters["Analyzer"]; }
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| 64 | }
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| 65 | public ILookupParameter<IOperator> LayerAnalyzerParameter {
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| 66 | get { return (ILookupParameter<IOperator>)Parameters["LayerAnalyzer"]; }
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| 67 | }
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| 68 |
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| 69 | public IValueLookupParameter<IntValue> NumberOfLayersParameter {
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| 70 | get { return (IValueLookupParameter<IntValue>)Parameters["NumberOfLayers"]; }
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| 71 | }
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| 72 | public IValueLookupParameter<IntValue> PopulationSizeParameter {
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| 73 | get { return (IValueLookupParameter<IntValue>)Parameters["PopulationSize"]; }
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| 74 | }
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| 75 | public ILookupParameter<IntValue> CurrentPopulationSizeParameter {
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| 76 | get { return (ILookupParameter<IntValue>)Parameters["CurrentPopulationSize"]; }
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| 77 | }
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| 78 |
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| 79 | public IValueLookupParameter<IOperator> SelectorParameter {
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| 80 | get { return (IValueLookupParameter<IOperator>)Parameters["Selector"]; }
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| 81 | }
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| 82 | public IValueLookupParameter<IOperator> CrossoverParameter {
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| 83 | get { return (IValueLookupParameter<IOperator>)Parameters["Crossover"]; }
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| 84 | }
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| 85 | public IValueLookupParameter<IOperator> MutatorParameter {
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| 86 | get { return (IValueLookupParameter<IOperator>)Parameters["Mutator"]; }
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| 87 | }
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| 88 | public IValueLookupParameter<PercentValue> MutationProbabilityParameter {
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| 89 | get { return (IValueLookupParameter<PercentValue>)Parameters["MutationProbability"]; }
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| 90 | }
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| 91 | public IValueLookupParameter<IntValue> ElitesParameter {
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| 92 | get { return (IValueLookupParameter<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 IValueLookupParameter<BoolValue> PlusSelectionParameter {
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| 98 | get { return (IValueLookupParameter<BoolValue>)Parameters["PlusSelection"]; }
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| 99 | }
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| 100 |
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| 101 | public IScopeTreeLookupParameter<DoubleValue> AgeParameter {
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| 102 | get { return (IScopeTreeLookupParameter<DoubleValue>)Parameters["Age"]; }
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| 103 | }
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| 104 | public IValueLookupParameter<IntValue> AgeGapParameter {
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| 105 | get { return (IValueLookupParameter<IntValue>)Parameters["AgeGap"]; }
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| 106 | }
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| 107 | public IValueLookupParameter<DoubleValue> AgeInheritanceParameter {
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| 108 | get { return (IValueLookupParameter<DoubleValue>)Parameters["AgeInheritance"]; }
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| 109 | }
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| 110 | public IValueLookupParameter<IntArray> AgeLimitsParameter {
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| 111 | get { return (IValueLookupParameter<IntArray>)Parameters["AgeLimits"]; }
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| 112 | }
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| 113 |
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| 114 | public IValueLookupParameter<IntValue> MatingPoolRangeParameter {
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| 115 | get { return (IValueLookupParameter<IntValue>)Parameters["MatingPoolRange"]; }
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| 116 | }
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| 117 | public IValueLookupParameter<BoolValue> ReduceToPopulationSizeParameter {
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| 118 | get { return (IValueLookupParameter<BoolValue>)Parameters["ReduceToPopulationSize"]; }
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| 119 | }
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| 120 |
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| 121 | public IValueLookupParameter<IOperator> TerminatorParameter {
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| 122 | get { return (IValueLookupParameter<IOperator>)Parameters["Terminator"]; }
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| 123 | }
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| 124 |
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| 125 | public IValueLookupParameter<IOperator> SlidingWindowParameter {
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| 126 | get { return (IValueLookupParameter<IOperator>)Parameters["SlidingWindow"]; }
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| 127 | }
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| 128 | #endregion
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| 129 |
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| 130 | [StorableConstructor]
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| 131 | private AlpsGeneticAlgorithmMainLoop(StorableConstructorFlag _) : base(_) { }
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| 132 | private AlpsGeneticAlgorithmMainLoop(AlpsGeneticAlgorithmMainLoop original, Cloner cloner)
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| 133 | : base(original, cloner) { }
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| 134 | public override IDeepCloneable Clone(Cloner cloner) {
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| 135 | return new AlpsGeneticAlgorithmMainLoop(this, cloner);
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| 136 | }
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| 137 | public AlpsGeneticAlgorithmMainLoop()
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| 138 | : base() {
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| 139 | Parameters.Add(new ValueLookupParameter<IRandom>("GlobalRandom", "A pseudo random number generator."));
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| 140 | Parameters.Add(new ValueLookupParameter<IRandom>("LocalRandom", "A pseudo random number generator."));
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| 141 |
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| 142 | 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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| 143 | Parameters.Add(new ValueLookupParameter<IntValue>("EvaluatedSolutions", "The number of times solutions have been evaluated."));
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| 144 | Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("Quality", "The value which represents the quality of a solution."));
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| 145 | Parameters.Add(new ValueLookupParameter<BoolValue>("Maximization", "True if the problem is a maximization problem, otherwise false."));
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| 146 |
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| 147 | Parameters.Add(new ValueLookupParameter<IOperator>("Analyzer", "The operator used to analyze all individuals from all layers combined."));
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| 148 | Parameters.Add(new ValueLookupParameter<IOperator>("LayerAnalyzer", "The operator used to analyze each layer."));
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| 149 |
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| 150 | Parameters.Add(new ValueLookupParameter<IntValue>("NumberOfLayers", "The number of layers."));
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| 151 | Parameters.Add(new ValueLookupParameter<IntValue>("PopulationSize", "The size of the population of solutions in each layer."));
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| 152 | Parameters.Add(new LookupParameter<IntValue>("CurrentPopulationSize", "The current size of the population."));
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| 153 |
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| 154 | Parameters.Add(new ValueLookupParameter<IOperator>("Selector", "The operator used to select solutions for reproduction."));
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| 155 | Parameters.Add(new ValueLookupParameter<IOperator>("Crossover", "The operator used to cross solutions."));
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| 156 | Parameters.Add(new ValueLookupParameter<IOperator>("Mutator", "The operator used to mutate solutions."));
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| 157 | Parameters.Add(new ValueLookupParameter<PercentValue>("MutationProbability", "The probability that the mutation operator is applied on a solution."));
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| 158 | Parameters.Add(new ValueLookupParameter<IntValue>("Elites", "The numer of elite solutions which are kept in each generation."));
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| 159 | 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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| 160 | Parameters.Add(new ValueLookupParameter<BoolValue>("PlusSelection", "Include the parents in the selection of the invividuals for the next generation."));
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| 161 |
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| 162 | Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("Age", "The age of individuals."));
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| 163 | 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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| 164 | 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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| 165 | Parameters.Add(new ValueLookupParameter<IntArray>("AgeLimits", "The maximum age an individual is allowed to reach in a certain layer."));
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| 166 |
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| 167 | 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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| 168 | Parameters.Add(new ValueLookupParameter<BoolValue>("ReduceToPopulationSize", "Reduce the CurrentPopulationSize after elder migration to PopulationSize"));
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| 169 |
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| 170 | Parameters.Add(new ValueLookupParameter<IOperator>("Terminator", "The termination criteria that defines if the algorithm should continue or stop"));
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| 171 |
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| 172 | Parameters.Add(new ValueLookupParameter<IOperator>("SlidingWindow", "Operator which moves a sliding window over the training data."));
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| 173 |
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| 174 | var variableCreator = new VariableCreator() { Name = "Initialize" };
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| 175 | var slidingWindow = new Placeholder() { Name = "Sliding Window (Placeholder)" };
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| 176 | var initLayerAnalyzerProcessor = new SubScopesProcessor();
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| 177 | var layerVariableCreator = new VariableCreator() { Name = "Initialize Layer" };
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| 178 | var initLayerAnalyzerPlaceholder = new Placeholder() { Name = "LayerAnalyzer (Placeholder)" };
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| 179 | var initAnalyzerPlaceholder = new Placeholder() { Name = "Analyzer (Placeholder)" };
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| 180 | var resultsCollector = new ResultsCollector();
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| 181 | var matingPoolCreator = new MatingPoolCreator() { Name = "Create Mating Pools" };
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| 182 | var matingPoolProcessor = new UniformSubScopesProcessor() { Name = "Process Mating Pools" };
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| 183 | var initializeLayer = new Assigner() { Name = "Reset LayerEvaluatedSolutions" };
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| 184 | var mainOperator = new AlpsGeneticAlgorithmMainOperator();
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| 185 | var generationsIcrementor = new IntCounter() { Name = "Increment Generations" };
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| 186 | var evaluatedSolutionsReducer = new DataReducer() { Name = "Increment EvaluatedSolutions" };
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| 187 | var eldersEmigrator = CreateEldersEmigrator();
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| 188 | var layerOpener = CreateLayerOpener();
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| 189 | var layerReseeder = CreateReseeder();
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| 190 | var layerAnalyzerProcessor = new UniformSubScopesProcessor();
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| 191 | var layerAnalyzerPlaceholder = new Placeholder() { Name = "LayerAnalyzer (Placeholder)" };
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| 192 | var analyzerPlaceholder = new Placeholder() { Name = "Analyzer (Placeholder)" };
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| 193 | var termination = new TerminationOperator();
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| 194 |
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| 195 | OperatorGraph.InitialOperator = variableCreator;
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| 196 |
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| 197 | variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("Generations", new IntValue(0)));
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| 198 | variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("OpenLayers", new IntValue(1)));
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| 199 | variableCreator.Successor = initLayerAnalyzerProcessor;
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| 200 |
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| 201 | initLayerAnalyzerProcessor.Operators.Add(layerVariableCreator);
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| 202 | initLayerAnalyzerProcessor.Successor = initAnalyzerPlaceholder;
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| 203 |
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| 204 | layerVariableCreator.CollectedValues.Add(new ValueParameter<IntValue>("Layer", new IntValue(0)));
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| 205 | layerVariableCreator.CollectedValues.Add(new ValueParameter<ResultCollection>("LayerResults"));
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| 206 | layerVariableCreator.Successor = initLayerAnalyzerPlaceholder;
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| 207 |
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| 208 | initLayerAnalyzerPlaceholder.OperatorParameter.ActualName = LayerAnalyzerParameter.Name;
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| 209 | initLayerAnalyzerPlaceholder.Successor = null;
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| 210 |
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| 211 | initAnalyzerPlaceholder.OperatorParameter.ActualName = AnalyzerParameter.Name;
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| 212 | initAnalyzerPlaceholder.Successor = resultsCollector;
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| 213 |
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| 214 | resultsCollector.CollectedValues.Add(new LookupParameter<IntValue>("Generations"));
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| 215 | resultsCollector.CollectedValues.Add(new ScopeTreeLookupParameter<ResultCollection>("LayerResults", "Result set for each Layer", "LayerResults"));
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| 216 | resultsCollector.CollectedValues.Add(new LookupParameter<IntValue>("OpenLayers"));
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| 217 | resultsCollector.CopyValue = new BoolValue(false);
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| 218 | resultsCollector.Successor = slidingWindow;
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| 219 |
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| 220 | slidingWindow.OperatorParameter.ActualName = SlidingWindowParameter.Name;
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| 221 | slidingWindow.Successor = matingPoolCreator;
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| 222 |
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| 223 | matingPoolCreator.MatingPoolRangeParameter.Value = null;
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| 224 | matingPoolCreator.MatingPoolRangeParameter.ActualName = MatingPoolRangeParameter.Name;
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| 225 | matingPoolCreator.Successor = matingPoolProcessor;
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| 226 |
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| 227 | matingPoolProcessor.Parallel.Value = true;
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| 228 | matingPoolProcessor.Operator = initializeLayer;
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| 229 | matingPoolProcessor.Successor = generationsIcrementor;
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| 230 |
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| 231 | initializeLayer.LeftSideParameter.ActualName = "LayerEvaluatedSolutions";
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| 232 | initializeLayer.RightSideParameter.Value = new IntValue(0);
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| 233 | initializeLayer.Successor = mainOperator;
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| 234 |
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| 235 | mainOperator.RandomParameter.ActualName = LocalRandomParameter.Name;
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| 236 | mainOperator.EvaluatorParameter.ActualName = EvaluatorParameter.Name;
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| 237 | mainOperator.EvaluatedSolutionsParameter.ActualName = "LayerEvaluatedSolutions";
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| 238 | mainOperator.QualityParameter.ActualName = QualityParameter.Name;
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| 239 | mainOperator.MaximizationParameter.ActualName = MaximizationParameter.Name;
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| 240 | mainOperator.PopulationSizeParameter.ActualName = PopulationSizeParameter.Name;
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| 241 | mainOperator.SelectorParameter.ActualName = SelectorParameter.Name;
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| 242 | mainOperator.CrossoverParameter.ActualName = CrossoverParameter.Name;
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| 243 | mainOperator.MutatorParameter.ActualName = MutatorParameter.ActualName;
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| 244 | mainOperator.MutationProbabilityParameter.ActualName = MutationProbabilityParameter.Name;
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| 245 | mainOperator.ElitesParameter.ActualName = ElitesParameter.Name;
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| 246 | mainOperator.ReevaluateElitesParameter.ActualName = ReevaluateElitesParameter.Name;
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| 247 | mainOperator.PlusSelectionParameter.ActualName = PlusSelectionParameter.Name;
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| 248 | mainOperator.AgeParameter.ActualName = AgeParameter.Name;
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| 249 | mainOperator.AgeInheritanceParameter.ActualName = AgeInheritanceParameter.Name;
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| 250 | mainOperator.AgeIncrementParameter.Value = new DoubleValue(1.0);
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| 251 | mainOperator.Successor = null;
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| 252 |
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| 253 | generationsIcrementor.ValueParameter.ActualName = "Generations";
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| 254 | generationsIcrementor.Increment = new IntValue(1);
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| 255 | generationsIcrementor.Successor = evaluatedSolutionsReducer;
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| 256 |
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| 257 | evaluatedSolutionsReducer.ParameterToReduce.ActualName = "LayerEvaluatedSolutions";
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| 258 | evaluatedSolutionsReducer.TargetParameter.ActualName = EvaluatedSolutionsParameter.Name;
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| 259 | evaluatedSolutionsReducer.ReductionOperation.Value = new ReductionOperation(ReductionOperations.Sum);
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| 260 | evaluatedSolutionsReducer.TargetOperation.Value = new ReductionOperation(ReductionOperations.Sum);
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| 261 | evaluatedSolutionsReducer.Successor = eldersEmigrator;
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| 262 |
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| 263 | eldersEmigrator.Successor = layerOpener;
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| 264 |
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| 265 | layerOpener.Successor = layerReseeder;
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| 266 |
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| 267 | layerReseeder.Successor = layerAnalyzerProcessor;
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| 268 |
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| 269 | layerAnalyzerProcessor.Operator = layerAnalyzerPlaceholder;
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| 270 | layerAnalyzerProcessor.Successor = analyzerPlaceholder;
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| 271 |
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| 272 | layerAnalyzerPlaceholder.OperatorParameter.ActualName = LayerAnalyzerParameter.Name;
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| 273 |
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| 274 | analyzerPlaceholder.OperatorParameter.ActualName = AnalyzerParameter.Name;
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| 275 | analyzerPlaceholder.Successor = termination;
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| 276 |
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| 277 | termination.TerminatorParameter.ActualName = TerminatorParameter.Name;
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| 278 | termination.ContinueBranch = slidingWindow;
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| 279 | }
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| 280 |
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| 281 | private CombinedOperator CreateEldersEmigrator() {
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| 282 | var eldersEmigrator = new CombinedOperator() { Name = "Emigrate Elders" };
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| 283 | var selectorProsessor = new UniformSubScopesProcessor();
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| 284 | var eldersSelector = new EldersSelector();
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| 285 | var shiftToRightMigrator = new UnidirectionalRingMigrator() { Name = "Shift elders to next layer" };
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| 286 | var mergingProsessor = new UniformSubScopesProcessor();
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| 287 | var mergingReducer = new MergingReducer();
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| 288 | var subScopesCounter = new SubScopesCounter();
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| 289 | var reduceToPopulationSizeBranch = new ConditionalBranch() { Name = "ReduceToPopulationSize?" };
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| 290 | var countCalculator = new ExpressionCalculator() { Name = "CurrentPopulationSize = Min(CurrentPopulationSize, PopulationSize)" };
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| 291 | var bestSelector = new BestSelector();
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| 292 | var rightReducer = new RightReducer();
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| 293 |
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| 294 | eldersEmigrator.OperatorGraph.InitialOperator = selectorProsessor;
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| 295 |
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| 296 | selectorProsessor.Operator = eldersSelector;
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| 297 | selectorProsessor.Successor = shiftToRightMigrator;
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| 298 |
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| 299 | eldersSelector.AgeParameter.ActualName = AgeParameter.Name;
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| 300 | eldersSelector.AgeLimitsParameter.ActualName = AgeLimitsParameter.Name;
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| 301 | eldersSelector.NumberOfLayersParameter.ActualName = NumberOfLayersParameter.Name;
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| 302 | eldersSelector.LayerParameter.ActualName = "Layer";
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| 303 | eldersSelector.Successor = null;
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| 304 |
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| 305 | shiftToRightMigrator.ClockwiseMigrationParameter.Value = new BoolValue(true);
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| 306 | shiftToRightMigrator.Successor = mergingProsessor;
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| 307 |
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| 308 | mergingProsessor.Operator = mergingReducer;
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| 309 |
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| 310 | mergingReducer.Successor = subScopesCounter;
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| 311 |
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| 312 | subScopesCounter.ValueParameter.ActualName = CurrentPopulationSizeParameter.Name;
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| 313 | subScopesCounter.AccumulateParameter.Value = new BoolValue(false);
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| 314 | subScopesCounter.Successor = reduceToPopulationSizeBranch;
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| 315 |
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| 316 | reduceToPopulationSizeBranch.ConditionParameter.ActualName = ReduceToPopulationSizeParameter.Name;
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| 317 | reduceToPopulationSizeBranch.TrueBranch = countCalculator;
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| 318 |
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| 319 | countCalculator.CollectedValues.Add(new LookupParameter<IntValue>(PopulationSizeParameter.Name));
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| 320 | countCalculator.CollectedValues.Add(new LookupParameter<IntValue>(CurrentPopulationSizeParameter.Name));
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| 321 | countCalculator.ExpressionParameter.Value = new StringValue("CurrentPopulationSize PopulationSize CurrentPopulationSize PopulationSize < if toint");
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| 322 | countCalculator.ExpressionResultParameter.ActualName = CurrentPopulationSizeParameter.Name;
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| 323 | countCalculator.Successor = bestSelector;
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| 324 |
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| 325 | bestSelector.NumberOfSelectedSubScopesParameter.ActualName = CurrentPopulationSizeParameter.Name;
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| 326 | bestSelector.CopySelected = new BoolValue(false);
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| 327 | bestSelector.Successor = rightReducer;
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| 328 |
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| 329 | return eldersEmigrator;
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| 330 | }
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| 331 |
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| 332 | private CombinedOperator CreateLayerOpener() {
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| 333 | var layerOpener = new CombinedOperator() { Name = "Open new Layer if needed" };
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| 334 | var maxLayerReached = new Comparator() { Name = "MaxLayersReached = OpenLayers >= NumberOfLayers" };
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| 335 | var maxLayerReachedBranch = new ConditionalBranch() { Name = "MaxLayersReached?" };
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| 336 | var openNewLayerCalculator = new ExpressionCalculator() { Name = "OpenNewLayer = Generations >= AgeLimits[OpenLayers - 1]" };
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| 337 | var openNewLayerBranch = new ConditionalBranch() { Name = "OpenNewLayer?" };
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| 338 | var layerCreator = new LastLayerCloner() { Name = "Create Layer" };
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| 339 | var updateLayerNumber = new Assigner() { Name = "Layer = OpenLayers" };
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| 340 | var historyWiper = new ResultsHistoryWiper() { Name = "Clear History in Results" };
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| 341 | var createChildrenViaCrossover = new AlpsGeneticAlgorithmMainOperator();
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| 342 | var incrEvaluatedSolutionsForNewLayer = new SubScopesCounter() { Name = "Update EvaluatedSolutions" };
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| 343 | var incrOpenLayers = new IntCounter() { Name = "Incr. OpenLayers" };
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| 344 | var newLayerResultsCollector = new ResultsCollector() { Name = "Collect new Layer Results" };
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| 345 |
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| 346 | layerOpener.OperatorGraph.InitialOperator = maxLayerReached;
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| 347 |
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| 348 | maxLayerReached.LeftSideParameter.ActualName = "OpenLayers";
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| 349 | maxLayerReached.RightSideParameter.ActualName = NumberOfLayersParameter.Name;
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| 350 | maxLayerReached.ResultParameter.ActualName = "MaxLayerReached";
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| 351 | maxLayerReached.Comparison = new Comparison(ComparisonType.GreaterOrEqual);
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| 352 | maxLayerReached.Successor = maxLayerReachedBranch;
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| 353 |
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| 354 | maxLayerReachedBranch.ConditionParameter.ActualName = "MaxLayerReached";
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| 355 | maxLayerReachedBranch.FalseBranch = openNewLayerCalculator;
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| 356 |
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| 357 | openNewLayerCalculator.CollectedValues.Add(new LookupParameter<IntArray>(AgeLimitsParameter.Name));
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| 358 | openNewLayerCalculator.CollectedValues.Add(new LookupParameter<IntValue>("Generations"));
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| 359 | openNewLayerCalculator.CollectedValues.Add(new LookupParameter<IntValue>(NumberOfLayersParameter.Name));
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| 360 | openNewLayerCalculator.CollectedValues.Add(new LookupParameter<IntValue>("OpenLayers"));
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| 361 | openNewLayerCalculator.ExpressionResultParameter.ActualName = "OpenNewLayer";
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| 362 | openNewLayerCalculator.ExpressionParameter.Value = new StringValue("Generations 1 + AgeLimits OpenLayers 1 - [] >");
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| 363 | openNewLayerCalculator.Successor = openNewLayerBranch;
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| 364 |
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| 365 | openNewLayerBranch.ConditionParameter.ActualName = "OpenNewLayer";
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| 366 | openNewLayerBranch.TrueBranch = layerCreator;
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| 367 |
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| 368 | layerCreator.NewLayerOperator = updateLayerNumber;
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| 369 | layerCreator.Successor = incrOpenLayers;
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| 370 |
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| 371 | updateLayerNumber.LeftSideParameter.ActualName = "Layer";
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| 372 | updateLayerNumber.RightSideParameter.ActualName = "OpenLayers";
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| 373 | updateLayerNumber.Successor = historyWiper;
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| 374 |
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| 375 | historyWiper.ResultsParameter.ActualName = "LayerResults";
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| 376 | historyWiper.Successor = createChildrenViaCrossover;
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| 377 |
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| 378 | // Maybe use only crossover and no elitism instead of "default operator"
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| 379 | createChildrenViaCrossover.RandomParameter.ActualName = LocalRandomParameter.Name;
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| 380 | createChildrenViaCrossover.EvaluatorParameter.ActualName = EvaluatorParameter.Name;
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| 381 | createChildrenViaCrossover.EvaluatedSolutionsParameter.ActualName = "LayerEvaluatedSolutions";
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| 382 | createChildrenViaCrossover.QualityParameter.ActualName = QualityParameter.Name;
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| 383 | createChildrenViaCrossover.MaximizationParameter.ActualName = MaximizationParameter.Name;
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| 384 | createChildrenViaCrossover.PopulationSizeParameter.ActualName = PopulationSizeParameter.Name;
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| 385 | createChildrenViaCrossover.SelectorParameter.ActualName = SelectorParameter.Name;
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| 386 | createChildrenViaCrossover.CrossoverParameter.ActualName = CrossoverParameter.Name;
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| 387 | createChildrenViaCrossover.MutatorParameter.ActualName = MutatorParameter.Name;
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| 388 | createChildrenViaCrossover.MutationProbabilityParameter.ActualName = MutationProbabilityParameter.Name;
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| 389 | createChildrenViaCrossover.ElitesParameter.ActualName = ElitesParameter.Name;
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| 390 | createChildrenViaCrossover.ReevaluateElitesParameter.ActualName = ReevaluateElitesParameter.Name;
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| 391 | createChildrenViaCrossover.PlusSelectionParameter.ActualName = PlusSelectionParameter.Name;
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| 392 | createChildrenViaCrossover.AgeParameter.ActualName = AgeParameter.Name;
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| 393 | createChildrenViaCrossover.AgeInheritanceParameter.ActualName = AgeInheritanceParameter.Name;
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| 394 | createChildrenViaCrossover.AgeIncrementParameter.Value = new DoubleValue(0.0);
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| 395 | createChildrenViaCrossover.Successor = incrEvaluatedSolutionsForNewLayer;
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| 396 |
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| 397 | incrEvaluatedSolutionsForNewLayer.ValueParameter.ActualName = EvaluatedSolutionsParameter.Name;
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| 398 | incrEvaluatedSolutionsForNewLayer.AccumulateParameter.Value = new BoolValue(true);
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| 399 |
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| 400 | incrOpenLayers.ValueParameter.ActualName = "OpenLayers";
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| 401 | incrOpenLayers.Increment = new IntValue(1);
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| 402 | incrOpenLayers.Successor = newLayerResultsCollector;
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| 403 |
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| 404 | newLayerResultsCollector.CollectedValues.Add(new ScopeTreeLookupParameter<ResultCollection>("LayerResults", "Result set for each layer", "LayerResults"));
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| 405 | newLayerResultsCollector.CopyValue = new BoolValue(false);
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| 406 | newLayerResultsCollector.Successor = null;
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| 407 |
|
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| 408 | return layerOpener;
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| 409 | }
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| 410 |
|
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| 411 | private CombinedOperator CreateReseeder() {
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| 412 | var reseeder = new CombinedOperator() { Name = "Reseed Layer Zero if needed" };
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| 413 | var reseedingController = new ReseedingController() { Name = "Reseeding needed (Generation % AgeGap == 0)?" };
|
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| 414 | var removeIndividuals = new SubScopesRemover();
|
|---|
| 415 | var createIndividuals = new SolutionsCreator();
|
|---|
| 416 | var initializeAgeProsessor = new UniformSubScopesProcessor();
|
|---|
| 417 | var initializeAge = new VariableCreator() { Name = "Initialize Age" };
|
|---|
| 418 | var incrEvaluatedSolutionsAfterReseeding = new SubScopesCounter() { Name = "Update EvaluatedSolutions" };
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| 419 |
|
|---|
| 420 | reseeder.OperatorGraph.InitialOperator = reseedingController;
|
|---|
| 421 |
|
|---|
| 422 | reseedingController.GenerationsParameter.ActualName = "Generations";
|
|---|
| 423 | reseedingController.AgeGapParameter.ActualName = AgeGapParameter.Name;
|
|---|
| 424 | reseedingController.FirstLayerOperator = removeIndividuals;
|
|---|
| 425 | reseedingController.Successor = null;
|
|---|
| 426 |
|
|---|
| 427 | removeIndividuals.Successor = createIndividuals;
|
|---|
| 428 |
|
|---|
| 429 | createIndividuals.NumberOfSolutionsParameter.ActualName = PopulationSizeParameter.Name;
|
|---|
| 430 | createIndividuals.Successor = initializeAgeProsessor;
|
|---|
| 431 |
|
|---|
| 432 | initializeAgeProsessor.Operator = initializeAge;
|
|---|
| 433 | initializeAgeProsessor.Successor = incrEvaluatedSolutionsAfterReseeding;
|
|---|
| 434 |
|
|---|
| 435 | initializeAge.CollectedValues.Add(new ValueParameter<DoubleValue>(AgeParameter.Name, new DoubleValue(0)));
|
|---|
| 436 |
|
|---|
| 437 | incrEvaluatedSolutionsAfterReseeding.ValueParameter.ActualName = EvaluatedSolutionsParameter.Name;
|
|---|
| 438 | incrEvaluatedSolutionsAfterReseeding.AccumulateParameter.Value = new BoolValue(true);
|
|---|
| 439 |
|
|---|
| 440 | return reseeder;
|
|---|
| 441 | }
|
|---|
| 442 | }
|
|---|
| 443 | } |
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