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source: branches/2205_OptimizationNetworks/HeuristicLab.Networks.IntegratedOptimization/3.3/MaximizationVariegationProblem.cs

Last change on this file was 14628, checked in by jkarder, 8 years ago

#2205: worked on optimization networks

  • added variegation problem for minimization and maximization
  • refactored some classes
File size: 1.9 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2017 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 HeuristicLab.Common;
23using HeuristicLab.Core;
24using HeuristicLab.Optimization;
25using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
26
27namespace HeuristicLab.Networks.IntegratedOptimization {
28  [Item("Maximization Variegation Problem", "")]
29  [StorableClass]
30  public class MaximizationVariegationProblem<TEncoding> : SingleObjectiveBasicProblem<TEncoding> where TEncoding : class, IEncoding {
31    public override bool Maximization {
32      get { return true; }
33    }
34
35    [StorableConstructor]
36    protected MaximizationVariegationProblem(bool deserializing) : base(deserializing) { }
37    protected MaximizationVariegationProblem(MaximizationVariegationProblem<TEncoding> original, Cloner cloner) : base(original, cloner) { }
38    public MaximizationVariegationProblem() : base() { }
39
40    public override IDeepCloneable Clone(Cloner cloner) {
41      return new MaximizationVariegationProblem<TEncoding>(this, cloner);
42    }
43
44    public override double Evaluate(Individual individual, IRandom random) { return 0.0; }
45  }
46}
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