[15562] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2017 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 System;
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| 23 | using System.Threading;
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| 24 | using HeuristicLab.Analysis;
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| 25 | using HeuristicLab.Common;
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| 26 | using HeuristicLab.Core;
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| 27 | using HeuristicLab.Data;
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| 28 | using HeuristicLab.Optimization;
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| 29 | using HeuristicLab.Parameters;
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| 30 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 31 |
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| 32 | namespace HeuristicLab.Problems.GeneralizedQuadraticAssignment.Algorithms {
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| 33 | [Item("Context-based Algorithm", "Algorithms that make use of contexts to facilitate applying operators.")]
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| 34 | [StorableClass]
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| 35 | public abstract class ContextAlgorithm<TContext> : BasicAlgorithm
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| 36 | where TContext : class, IContext, new() {
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| 37 |
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| 38 | [Storable]
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| 39 | private TContext context;
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| 40 | protected TContext Context {
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| 41 | get { return context; }
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| 42 | }
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| 43 |
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| 44 | [Storable]
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| 45 | private ValueParameter<IAnalyzer> analyzerParameter;
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| 46 | public IValueParameter<IAnalyzer> AnalyzerParameter {
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| 47 | get { return analyzerParameter; }
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| 48 | }
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| 49 | [Storable]
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| 50 | private FixedValueParameter<IntValue> maximumIterationsParameter;
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| 51 | public IFixedValueParameter<IntValue> MaximumIterationsParameter {
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| 52 | get { return maximumIterationsParameter; }
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| 53 | }
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| 54 | [Storable]
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| 55 | private FixedValueParameter<IntValue> maximumEvaluationsParameter;
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| 56 | public IFixedValueParameter<IntValue> MaximumEvaluationsParameter {
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| 57 | get { return maximumEvaluationsParameter; }
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| 58 | }
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| 59 | [Storable]
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| 60 | private FixedValueParameter<TimeSpanValue> maximumRuntimeParameter;
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| 61 | public IFixedValueParameter<TimeSpanValue> MaximumRuntimeParameter {
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| 62 | get { return maximumRuntimeParameter; }
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| 63 | }
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| 64 |
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| 65 | public IAnalyzer Analyzer {
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| 66 | get { return analyzerParameter.Value; }
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| 67 | set { analyzerParameter.Value = value; }
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| 68 | }
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| 69 | public int MaximumIterations {
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| 70 | get { return maximumIterationsParameter.Value.Value; }
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| 71 | set { maximumIterationsParameter.Value.Value = value; }
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| 72 | }
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| 73 | public int MaximumEvaluations {
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| 74 | get { return maximumEvaluationsParameter.Value.Value; }
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| 75 | set { maximumEvaluationsParameter.Value.Value = value; }
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| 76 | }
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| 77 | public TimeSpan MaximumRuntime {
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| 78 | get { return maximumRuntimeParameter.Value.Value; }
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| 79 | set { maximumRuntimeParameter.Value.Value = value; }
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| 80 | }
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| 81 |
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| 82 | [StorableConstructor]
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| 83 | protected ContextAlgorithm(bool deserializing) : base(deserializing) { }
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| 84 | protected ContextAlgorithm(ContextAlgorithm<TContext> original, Cloner cloner)
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| 85 | : base(original, cloner) {
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| 86 | context = cloner.Clone(original.context);
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| 87 | analyzerParameter = cloner.Clone(original.analyzerParameter);
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| 88 | maximumIterationsParameter = cloner.Clone(original.maximumIterationsParameter);
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| 89 | maximumEvaluationsParameter = cloner.Clone(original.maximumEvaluationsParameter);
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| 90 | maximumRuntimeParameter = cloner.Clone(original.maximumRuntimeParameter);
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| 91 | }
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| 92 | protected ContextAlgorithm()
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| 93 | : base() {
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| 94 | Parameters.Add(analyzerParameter = new ValueParameter<IAnalyzer>("Analyzer", "The analyzers that are used to perform an analysis of the solutions.", new MultiAnalyzer()));
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| 95 | Parameters.Add(maximumIterationsParameter = new FixedValueParameter<IntValue>("MaximumIterations", "The number of iterations that the algorithm should run or < 1 to ignore.", new IntValue(0)));
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| 96 | Parameters.Add(maximumEvaluationsParameter = new FixedValueParameter<IntValue>("MaximumEvaluations", "The number of evaluated solutions that the algorithm should perform or < 1 to ignore.", new IntValue(0)));
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| 97 | Parameters.Add(maximumRuntimeParameter = new FixedValueParameter<TimeSpanValue>("MaximumRuntime", "The timespan that the algorithm is allowed to run.", new TimeSpanValue(TimeSpan.FromMinutes(1))));
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| 98 | }
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| 99 |
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| 100 | protected override void Initialize(CancellationToken cancellationToken) {
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| 101 | base.Initialize(cancellationToken);
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| 102 | context = new TContext();
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| 103 | context.Scope.Variables.Add(new Variable("Results", Results));
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| 104 |
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| 105 | IExecutionContext ctxt = null;
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| 106 | foreach (var item in Problem.ExecutionContextItems)
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| 107 | ctxt = new Core.ExecutionContext(ctxt, item, Context.Scope);
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| 108 | ctxt = new Core.ExecutionContext(ctxt, this, Context.Scope);
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| 109 | context.Parent = ctxt;
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| 110 |
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| 111 | context.Iterations = 0;
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| 112 | context.EvaluatedSolutions = 0;
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| 113 | }
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| 114 |
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| 115 | public override void Prepare() {
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| 116 | context = null;
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| 117 | base.Prepare();
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| 118 | }
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| 119 |
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| 120 | protected virtual bool StoppingCriterion() {
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| 121 | return MaximumIterations > 0 && Context.Iterations > MaximumIterations
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| 122 | || MaximumEvaluations > 0 && Context.EvaluatedSolutions > MaximumEvaluations
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| 123 | || MaximumRuntime > TimeSpan.Zero && ExecutionTime > MaximumRuntime;
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| 124 | }
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| 125 | }
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| 126 | }
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