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source: branches/2645_ContextAlgorithms/HeuristicLab.Problems.GeneticProgramming/3.3/Boolean/EvenParityProblem.cs @ 17578

Last change on this file since 17578 was 15583, checked in by swagner, 7 years ago

#2640: Updated year of copyrights in license headers

File size: 6.1 KB
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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 System.Collections.Generic;
24using System.Linq;
25using HeuristicLab.Common;
26using HeuristicLab.Core;
27using HeuristicLab.Data;
28using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
29using HeuristicLab.Parameters;
30using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
31
32
33namespace HeuristicLab.Problems.GeneticProgramming.Boolean {
34  [Item("Even Parity Problem", "The Boolean even parity genetic programming problem. See Koza, 1992, page 529 section 20.2 Symbolic Regression of Even-Parity Functions")]
35  [Creatable(CreatableAttribute.Categories.GeneticProgrammingProblems, Priority = 900)]
36  [StorableClass]
37  public sealed class EvenParityProblem : SymbolicExpressionTreeProblem {
38
39    #region parameter names
40    private const string NumberOfBitsParameterName = "NumberOfBits";
41    #endregion
42
43    #region Parameter Properties
44    public IFixedValueParameter<IntValue> NumberOfBitsParameter {
45      get { return (IFixedValueParameter<IntValue>)Parameters[NumberOfBitsParameterName]; }
46    }
47    #endregion
48
49    #region Properties
50    public int NumberOfBits {
51      get { return NumberOfBitsParameter.Value.Value; }
52      set { NumberOfBitsParameter.Value.Value = value; }
53    }
54    #endregion
55
56    public override bool Maximization {
57      get { return true; }
58    }
59
60    #region item cloning and persistence
61    // persistence
62    [StorableConstructor]
63    private EvenParityProblem(bool deserializing) : base(deserializing) { }
64    [StorableHook(HookType.AfterDeserialization)]
65    private void AfterDeserialization() {
66      RegisterEventHandlers();
67    }
68
69    // cloning
70    private EvenParityProblem(EvenParityProblem original, Cloner cloner)
71      : base(original, cloner) {
72      RegisterEventHandlers();
73    }
74    public override IDeepCloneable Clone(Cloner cloner) {
75      return new EvenParityProblem(this, cloner);
76    }
77    #endregion
78
79    public EvenParityProblem()
80      : base() {
81      Parameters.Add(new FixedValueParameter<IntValue>(NumberOfBitsParameterName, "The number of bits for the input parameter for the even parity function", new IntValue(4)));
82
83      var g = new SimpleSymbolicExpressionGrammar(); // will be replaced in update grammar
84      Encoding = new SymbolicExpressionTreeEncoding(g, 100, 17);
85
86      UpdateGrammar();
87      RegisterEventHandlers();
88    }
89
90    private void UpdateGrammar() {
91      var g = new SimpleSymbolicExpressionGrammar();
92      g.AddSymbols(new[] { "AND", "OR", "NAND", "NOR" }, 2, 2); // see Koza, 1992, page 529 section 20.2 Symbolic Regression of Even-Parity Functions
93
94      // add one terminal symbol for each bit
95      for (int i = 0; i < NumberOfBits; i++)
96        g.AddTerminalSymbol(string.Format("{0}", i));
97
98      Encoding.Grammar = g;
99
100      BestKnownQuality = Math.Pow(2, NumberOfBits); // this is a benchmark problem (the best achievable quality is known for a given number of bits)
101    }
102
103
104    public override double Evaluate(ISymbolicExpressionTree tree, IRandom random) {
105      if (NumberOfBits <= 0) throw new NotSupportedException("Number of bits must be larger than zero.");
106      if (NumberOfBits > 10) throw new NotSupportedException("Even parity does not support problems with number of bits > 10.");
107      var bs = Enumerable.Range(0, (int)Math.Pow(2, NumberOfBits));
108      var targets = bs.Select(b => CalcTarget(b, NumberOfBits));
109      var pred = Interpret(tree, bs);
110      return targets.Zip(pred, (t, p) => t == p ? 1 : 0).Sum(); // count number of correct predictions
111    }
112
113    private static bool CalcTarget(int b, int numBits) {
114      bool res = GetBits(b, 0);
115      for (byte i = 1; i < numBits; i++)
116        res = res ^ GetBits(b, i); // XOR
117      return res;
118    }
119
120    private static IEnumerable<bool> Interpret(ISymbolicExpressionTree tree, IEnumerable<int> bs) {
121      // skip programRoot and startSymbol
122      return InterpretRec(tree.Root.GetSubtree(0).GetSubtree(0), bs);
123    }
124
125    private static IEnumerable<bool> InterpretRec(ISymbolicExpressionTreeNode node, IEnumerable<int> bs) {
126      Func<ISymbolicExpressionTreeNode, ISymbolicExpressionTreeNode, Func<bool, bool, bool>, IEnumerable<bool>> binaryEval =
127        (left, right, f) => InterpretRec(left, bs).Zip(InterpretRec(right, bs), f);
128
129      switch (node.Symbol.Name) {
130        case "AND": return binaryEval(node.GetSubtree(0), node.GetSubtree(1), (x, y) => x & y);
131        case "OR": return binaryEval(node.GetSubtree(0), node.GetSubtree(1), (x, y) => x | y);
132        case "NAND": return binaryEval(node.GetSubtree(0), node.GetSubtree(1), (x, y) => !(x & y));
133        case "NOR": return binaryEval(node.GetSubtree(0), node.GetSubtree(1), (x, y) => !(x | y));
134        default: {
135            byte bitPos;
136            if (byte.TryParse(node.Symbol.Name, out bitPos)) {
137              return bs.Select(b => GetBits(b, bitPos));
138            } else throw new NotSupportedException(string.Format("Found unexpected symbol {0}", node.Symbol.Name));
139          }
140      }
141    }
142
143    private static bool GetBits(int b, byte bitPos) {
144      return (b & (1 << bitPos)) != 0;
145    }
146
147    #region events
148    private void RegisterEventHandlers() {
149      NumberOfBitsParameter.Value.ValueChanged += (sender, args) => UpdateGrammar();
150    }
151    #endregion
152  }
153}
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