[11666] | 1 | #region License Information
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[11956] | 2 |
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[11666] | 3 | /* HeuristicLab
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[14186] | 4 | * Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[11956] | 5 | *
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[11666] | 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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[11666] | 22 | #endregion
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| 23 |
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| 24 | using System;
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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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[11987] | 28 | using HeuristicLab.Encodings.BinaryVectorEncoding;
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[11666] | 29 | using HeuristicLab.Parameters;
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| 30 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 31 |
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[11987] | 32 | namespace HeuristicLab.Problems.Binary {
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[11666] | 33 | [Item("Deceptive Trap Problem", "Genome encodes completely separable blocks, where each block is fully deceptive.")]
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| 34 | [StorableClass]
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[12708] | 35 | [Creatable(CreatableAttribute.Categories.CombinatorialProblems, Priority = 230)]
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[11987] | 36 | public class DeceptiveTrapProblem : BinaryProblem {
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[11666] | 37 | [StorableConstructor]
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| 38 | protected DeceptiveTrapProblem(bool deserializing) : base(deserializing) { }
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| 39 | protected DeceptiveTrapProblem(DeceptiveTrapProblem original, Cloner cloner)
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| 40 | : base(original, cloner) {
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| 41 | }
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| 42 | public override IDeepCloneable Clone(Cloner cloner) {
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| 43 | return new DeceptiveTrapProblem(this, cloner);
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| 44 | }
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| 45 |
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| 46 | public override bool Maximization {
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| 47 | get { return true; }
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| 48 | }
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| 49 |
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| 50 | private const string TrapSizeParameterName = "Trap Size";
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| 51 |
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| 52 | public IFixedValueParameter<IntValue> TrapSizeParameter {
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| 53 | get { return (IFixedValueParameter<IntValue>)Parameters[TrapSizeParameterName]; }
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| 54 | }
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| 55 |
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| 56 | public int TrapSize {
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| 57 | get { return TrapSizeParameter.Value.Value; }
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| 58 | set { TrapSizeParameter.Value.Value = value; }
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| 59 | }
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[11669] | 60 |
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| 61 | protected virtual int TrapMaximum {
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[11674] | 62 | get { return TrapSize; }
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[11669] | 63 | }
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| 64 |
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[11666] | 65 | public DeceptiveTrapProblem()
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| 66 | : base() {
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[11669] | 67 | Parameters.Add(new FixedValueParameter<IntValue>(TrapSizeParameterName, "", new IntValue(7)));
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[12005] | 68 | Encoding.Length = 49;
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[11666] | 69 | }
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| 70 |
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[11672] | 71 | // In the GECCO paper, calculates Equation 3
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[11987] | 72 | protected virtual int Score(BinaryVector individual, int trapIndex, int trapSize) {
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[11669] | 73 | int result = 0;
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[11672] | 74 | // count number of bits in trap set to 1
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[11674] | 75 | for (int index = trapIndex; index < trapIndex + trapSize; index++) {
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[11669] | 76 | if (individual[index]) result++;
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| 77 | }
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| 78 |
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| 79 | // Make it deceptive
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[11674] | 80 | if (result < trapSize) {
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| 81 | result = trapSize - result - 1;
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[11669] | 82 | }
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| 83 | return result;
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| 84 | }
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| 85 |
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[11987] | 86 | public override double Evaluate(BinaryVector individual, IRandom random) {
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[11666] | 87 | if (individual.Length != Length) throw new ArgumentException("The individual has not the correct length.");
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| 88 | int total = 0;
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[11674] | 89 | var trapSize = TrapSize;
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| 90 | for (int i = 0; i < individual.Length; i += trapSize) {
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| 91 | total += Score(individual, i, trapSize);
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[11666] | 92 | }
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[11674] | 93 | return (double)(total * trapSize) / (TrapMaximum * individual.Length);
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[11666] | 94 | }
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| 95 | }
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| 96 | }
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