[11635] | 1 | #region License Information
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[11956] | 2 |
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[11635] | 3 | /* HeuristicLab
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[14185] | 4 | * Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[11635] | 5 | *
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| 6 | * This file is part of HeuristicLab.
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| 7 | *
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| 8 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 9 | * it under the terms of the GNU General Public License as published by
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| 10 | * the Free Software Foundation, either version 3 of the License, or
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| 11 | * (at your option) any later version.
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| 12 | *
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| 13 | * HeuristicLab is distributed in the hope that it will be useful,
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| 14 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 15 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 16 | * GNU General Public License for more details.
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| 17 | *
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| 18 | * You should have received a copy of the GNU General Public License
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| 19 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 20 | */
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[11956] | 21 |
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[11635] | 22 | #endregion
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| 23 |
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[11990] | 24 | using System;
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[11996] | 25 | using System.Linq;
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[14412] | 26 | using HeuristicLab.Analysis;
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[11635] | 27 | using HeuristicLab.Common;
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| 28 | using HeuristicLab.Core;
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| 29 | using HeuristicLab.Data;
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[11987] | 30 | using HeuristicLab.Encodings.BinaryVectorEncoding;
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[11635] | 31 | using HeuristicLab.Optimization;
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[14412] | 32 | using HeuristicLab.Optimization.Operators;
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[11635] | 33 | using HeuristicLab.Parameters;
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| 34 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 35 |
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[11987] | 36 | namespace HeuristicLab.Problems.Binary {
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[11635] | 37 | [StorableClass]
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[11987] | 38 | public abstract class BinaryProblem : SingleObjectiveBasicProblem<BinaryVectorEncoding> {
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| 39 | public virtual int Length {
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| 40 | get { return Encoding.Length; }
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| 41 | set { Encoding.Length = value; }
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[11635] | 42 | }
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| 43 |
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[11990] | 44 | private IFixedValueParameter<IntValue> LengthParameter {
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| 45 | get { return (IFixedValueParameter<IntValue>)Parameters["Length"]; }
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| 46 | }
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| 47 |
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[11987] | 48 | [StorableConstructor]
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| 49 | protected BinaryProblem(bool deserializing) : base(deserializing) { }
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[11990] | 50 | [StorableHook(HookType.AfterDeserialization)]
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| 51 | private void AfterDeserialization() {
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| 52 | RegisterEventHandlers();
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| 53 | }
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[11635] | 54 |
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[11990] | 55 | protected BinaryProblem(BinaryProblem original, Cloner cloner)
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| 56 | : base(original, cloner) {
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| 57 | RegisterEventHandlers();
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| 58 | }
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| 59 |
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| 60 | protected BinaryProblem()
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| 61 | : base() {
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| 62 | var lengthParameter = new FixedValueParameter<IntValue>("Length", "The length of the BinaryVector.", new IntValue(10));
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| 63 | Parameters.Add(lengthParameter);
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| 64 | Encoding.LengthParameter = lengthParameter;
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[14412] | 65 | Operators.Add(new HammingSimilarityCalculator());
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| 66 | Operators.Add(new QualitySimilarityCalculator());
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| 67 | Operators.Add(new PopulationSimilarityAnalyzer(Operators.OfType<ISolutionSimilarityCalculator>()));
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| 68 | Parameterize();
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[11990] | 69 | RegisterEventHandlers();
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| 70 | }
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| 71 |
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[11987] | 72 | public virtual bool IsBetter(double quality, double bestQuality) {
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[11640] | 73 | return (Maximization && quality > bestQuality || !Maximization && quality < bestQuality);
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| 74 | }
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[11635] | 75 |
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[11996] | 76 | public abstract double Evaluate(BinaryVector vector, IRandom random);
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[11987] | 77 | public sealed override double Evaluate(Individual individual, IRandom random) {
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| 78 | return Evaluate(individual.BinaryVector(), random);
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[11635] | 79 | }
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| 80 |
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[11996] | 81 | public override void Analyze(Individual[] individuals, double[] qualities, ResultCollection results, IRandom random) {
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| 82 | base.Analyze(individuals, qualities, results, random);
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[12000] | 83 | var orderedIndividuals = individuals.Zip(qualities, (i, q) => new { Individual = i, Quality = q }).OrderBy(z => z.Quality);
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| 84 | var best = Maximization ? orderedIndividuals.Last().Individual : orderedIndividuals.First().Individual;
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| 85 |
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[11996] | 86 | if (!results.ContainsKey("Best Solution")) {
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| 87 | results.Add(new Result("Best Solution", typeof(BinaryVector)));
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| 88 | }
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[12000] | 89 | results["Best Solution"].Value = (IItem)best.BinaryVector().Clone();
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[11996] | 90 | }
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[11990] | 91 |
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| 92 | protected override void OnEncodingChanged() {
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| 93 | base.OnEncodingChanged();
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| 94 | Encoding.LengthParameter = LengthParameter;
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[14412] | 95 | Parameterize();
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[11990] | 96 | }
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| 97 |
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[14412] | 98 | private void Parameterize() {
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| 99 | foreach (var similarityCalculator in Operators.OfType<ISolutionSimilarityCalculator>()) {
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| 100 | similarityCalculator.SolutionVariableName = Encoding.SolutionCreator.BinaryVectorParameter.ActualName;
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| 101 | similarityCalculator.QualityVariableName = Evaluator.QualityParameter.ActualName;
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| 102 | }
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| 103 | }
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[11990] | 104 |
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| 105 | private void RegisterEventHandlers() {
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| 106 | LengthParameter.Value.ValueChanged += LengthParameter_ValueChanged;
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| 107 | }
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| 108 |
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| 109 | protected virtual void LengthParameter_ValueChanged(object sender, EventArgs e) { }
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[11635] | 110 | }
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| 111 | }
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