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source: branches/2901_StaticSelectionMethods/HeuristicLab.Problems.GeneticProgramming/3.3/robocode/Symbols/ShotPowerTreeNode.cs @ 15778

Last change on this file since 15778 was 15583, checked in by swagner, 7 years ago

#2640: Updated year of copyrights in license headers

File size: 2.3 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2018 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.Encodings.SymbolicExpressionTreeEncoding;
26using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
27
28namespace HeuristicLab.Problems.GeneticProgramming.Robocode {
29  [StorableClass]
30  public class ShotPowerTreeNode : SymbolicExpressionTreeTerminalNode {
31    private double value;
32    [Storable]
33    public double Value {
34      get { return value; }
35      private set { this.value = value; }
36    }
37
38    [StorableConstructor]
39    protected ShotPowerTreeNode(bool deserializing) : base(deserializing) { }
40    protected ShotPowerTreeNode(ShotPowerTreeNode original, Cloner cloner)
41      : base(original, cloner) {
42      this.value = original.value;
43    }
44
45    public ShotPowerTreeNode(ShotPower powerSy) : base(powerSy) { }
46
47    public override IDeepCloneable Clone(Cloner cloner) {
48      return new ShotPowerTreeNode(this, cloner);
49    }
50
51    public override bool HasLocalParameters {
52      get { return true; }
53    }
54
55    public override void ResetLocalParameters(IRandom random) {
56      // random initialization
57      value = Math.Max(0.1, random.NextDouble() * 3);
58    }
59
60    public override void ShakeLocalParameters(IRandom random, double shakingFactor) {
61      // mutation
62      var d = random.NextDouble() * 2.0 - 1.0;
63      value += shakingFactor * d;
64      if (value < 0.1) value = 0.1;
65      if (value > 3) value = 3;
66    }
67  }
68}
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