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source: branches/Parameter-less Population Pyramid/HeuristicLab.Algorithms.ParameterlessPopulationPyramid/3.3/Problems/OneMaxProblem.cs @ 11640

Last change on this file since 11640 was 11640, checked in by bgoldman, 9 years ago

#2282 Implemented DeceptiveTrapProblem and IsBetter

File size: 2.0 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
22using System;
23using HeuristicLab.Common;
24using HeuristicLab.Core;
25using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
26
27namespace HeuristicLab.Algorithms.ParameterlessPopulationPyramid.Problems {
28  [Item("Test One Max Problem", "Only a test class. Should be removed in the future.")]
29  [StorableClass]
30  [Creatable("Parameterless Population Pyramid")]
31  public class OneMaxProblem : BinaryVectorProblem {
32    [StorableConstructor]
33    protected OneMaxProblem(bool deserializing) : base(deserializing) { }
34    protected OneMaxProblem(OneMaxProblem original, Cloner cloner) : base(original, cloner) { }
35    public override IDeepCloneable Clone(Cloner cloner) { return new OneMaxProblem(this, cloner); }
36
37    public override bool Maximization {
38      get { return true; }
39    }
40    public OneMaxProblem() : base() { }
41
42    public override double Evaluate(bool[] individual) {
43      if (individual.Length != Length) throw new ArgumentException("The individual has not the correct length.");
44      double quality = 0;
45      for (int i = 0; i < individual.Length; i++)
46        if (individual[i]) quality++;
47      return quality;
48    }
49  }
50}
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