[15045] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[15584] | 3 | * Copyright (C) 2002-2018 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[15045] | 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.Collections.Generic;
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| 24 | using System.Linq;
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| 25 | using HeuristicLab.Common;
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| 26 | using HeuristicLab.Core;
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| 27 | using HeuristicLab.Encodings.RealVectorEncoding;
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| 28 | using HeuristicLab.Optimization;
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| 29 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 30 | using HeuristicLab.Problems.TestFunctions.MultiObjective;
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| 31 | namespace HeuristicLab.Algorithms.MOCMAEvolutionStrategy {
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| 32 | [Item("HypervolumeIndicator", "Selection of Offspring based on contributing Hypervolume")]
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| 33 | [StorableClass]
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| 34 | internal class HypervolumeIndicator : Item, IIndicator {
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| 35 | #region Constructors and Cloning
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| 36 | [StorableConstructor]
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| 37 | protected HypervolumeIndicator(bool deserializing) : base(deserializing) { }
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| 38 | protected HypervolumeIndicator(HypervolumeIndicator original, Cloner cloner) : base(original, cloner) { }
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| 39 | public override IDeepCloneable Clone(Cloner cloner) { return new HypervolumeIndicator(this, cloner); }
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| 40 | public HypervolumeIndicator() { }
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| 41 | #endregion
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| 42 |
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| 43 | public int LeastContributer(IReadOnlyList<Individual> front, MultiObjectiveBasicProblem<RealVectorEncoding> problem) {
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| 44 | var frontCopy = front.Select(x => x.PenalizedFitness).ToList();
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| 45 | if (frontCopy.Count <= 1) return 0;
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| 46 | var p = problem as MultiObjectiveTestFunctionProblem;
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| 47 | var refPoint = BuildReferencePoint(p != null ? frontCopy.Concat(new[] { p.ReferencePoint.CloneAsArray() }) : frontCopy, problem.Maximization);
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| 48 | var contributions = Enumerable.Range(0, frontCopy.Count).Select(i => Contribution(frontCopy, i, problem.Maximization, refPoint));
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| 49 | return contributions.Select((value, index) => new { value, index }).OrderBy(x => x.value).First().index;
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| 50 | }
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| 51 |
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| 52 | #region Helpers
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| 53 | private static double Contribution(IList<double[]> front, int idx, bool[] maximization, double[] refPoint) {
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| 54 | var point = front[idx];
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| 55 | front.RemoveAt(idx);
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[15176] | 56 | var contribution = -Hypervolume.Calculate(front.ToArray(), refPoint, maximization);
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[15045] | 57 | front.Insert(idx, point);
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| 58 | return contribution;
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| 59 | }
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| 60 | private static double[] BuildReferencePoint(IEnumerable<double[]> front, IReadOnlyList<bool> maximization) {
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| 61 | var refPoint = new double[maximization.Count];
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| 62 | foreach (var point in front)
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| 63 | for (var i = 0; i < maximization.Count; i++)
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| 64 | refPoint[i] = maximization[i] ? Math.Min(refPoint[i], point[i]) : Math.Max(refPoint[i], point[i]);
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| 65 | return refPoint;
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| 66 | }
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| 67 | #endregion
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| 68 | }
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| 69 | }
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