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source: branches/HeuristicLab.Problems.GrammaticalOptimization/HeuristicLab.Algorithms.GeneticProgramming/OffspringSelectionGP.cs @ 13949

Last change on this file since 13949 was 12503, checked in by aballeit, 9 years ago

#2283 added GUI and charts; fixed MCTS

File size: 4.6 KB
Line 
1using System;
2using System.IO;
3using System.IO.Compression;
4using System.Linq;
5using System.Threading;
6using HeuristicLab.Algorithms.GrammaticalOptimization;
7using HeuristicLab.Analysis;
8using HeuristicLab.Common;
9using HeuristicLab.Data;
10using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
11using HeuristicLab.Persistence.Default.Xml;
12using HeuristicLab.Problems.GrammaticalOptimization;
13
14namespace HeuristicLab.Algorithms.GeneticProgramming {
15  public class OffspringSelectionGP : SolverBase, IGPSolver {
16    public int PopulationSize { get; set; }
17    public double MutationRate { get; set; }
18    public int MaxSolutionSize { get; set; }
19    public int MaxSolutionDepth { get; set; }
20    public double ComparisonFactorLowerBound { get; set; }
21
22    private readonly ISymbolicExpressionTreeProblem problem;
23    private readonly Random random;
24    private readonly bool saveAlg;
25
26    public OffspringSelectionGP(ISymbolicExpressionTreeProblem problem, Random random, bool saveAlg = false) {
27      this.problem = problem;
28      this.random = random;
29      // default parameter values
30      PopulationSize = 100;
31      MutationRate = 0.15;
32      MaxSolutionSize = 100;
33      MaxSolutionDepth = 17;
34      ComparisonFactorLowerBound = 1.0;
35      this.saveAlg = saveAlg;
36    }
37
38    public override void Run(int maxEvaluations) {
39      var hlProblem = new GenericSymbExprProblem(problem);
40      var onEvalLocker = new object();
41      hlProblem.MaximumSymbolicExpressionTreeLength.Value = MaxSolutionSize;
42      hlProblem.MaximumSymbolicExpressionTreeDepth.Value = MaxSolutionDepth;
43
44      using (var wh = new AutoResetEvent(false)) {
45        var osga = new OffspringSelectionGeneticAlgorithm.OffspringSelectionGeneticAlgorithm();
46        // osga.Engine = new ParallelEngine.ParallelEngine();
47        osga.Engine = new SequentialEngine.SequentialEngine();
48        //osga.ExceptionOccurred += (sender, args) => { Console.WriteLine(args.Value.Message); wh.Set(); };
49        //osga.Stopped += (sender, args) => { wh.Set(); };
50
51        int numEvals = 0;
52        hlProblem.Evaluator.SolutionEvaluated += (sentence, quality) => {
53          // raise solution evaluated event for each GP solution, don't scale quality to 0..1
54          // need to synchronize in case we are using a parallel engine
55          lock (onEvalLocker) {
56            OnSolutionEvaluated(sentence, quality);
57
58            // stop when maxEvals has been reached
59            if (numEvals++ >= maxEvaluations) {
60              osga.Stop();
61            }
62          }
63        };
64
65
66        osga.Problem = hlProblem;
67        var mutator = (MultiSymbolicExpressionTreeManipulator)osga.MutatorParameter.ValidValues.Single(op => op.Name == "MultiSymbolicExpressionTreeManipulator");
68        foreach (var op in mutator.Operators) {
69          if (op.Name == "ChangeNodeTypeManipulation"
70            || op.Name == "ReplaceBranchManipulation") mutator.Operators.SetItemCheckedState(op, true);
71          else mutator.Operators.SetItemCheckedState(op, false);
72        }
73        osga.Mutator = mutator;
74        osga.Crossover = osga.CrossoverParameter.ValidValues.Single(op => op.Name == "SubtreeSwappingCrossover");
75        osga.Selector = osga.SelectorParameter.ValidValues.Single(op => op.Name == "GenderSpecificSelection");
76        var multiAnalzer = (MultiAnalyzer)osga.Analyzer;
77        multiAnalzer.Operators.Add(new BestSymbolicExpressionTreeAnalyzer());
78
79        osga.PopulationSize.Value = PopulationSize;
80        osga.MaximumGenerations.Value = 1000000; // some very large value (we stop based on evaluations)
81        osga.MaximumSelectionPressure.Value = 1000000;
82        osga.MaximumEvaluatedSolutions.Value = maxEvaluations;
83        osga.MutationProbability.Value = MutationRate;
84        osga.ComparisonFactorLowerBound.Value = 1.0;
85        osga.ComparisonFactorUpperBound.Value = ComparisonFactorLowerBound;
86        osga.SuccessRatio.Value = 1.0;
87
88        osga.SetSeedRandomly = new BoolValue(false);
89        osga.Seed = new IntValue(random.Next());
90
91        osga.Prepare();
92        osga.Start();
93
94        wh.Dispose();
95
96        if (saveAlg) {
97          var path = @"C:\Users\P24581\Desktop";
98          var fileName = string.Format("osgp-{0}{1:D2}{2:D2}{3:D2}{4:D2}.hl", DateTime.Now.Year, DateTime.Now.Month, DateTime.Now.Day, DateTime.Now.Hour, DateTime.Now.Minute);
99          var fullPath = Path.Combine(path, fileName);
100          HeuristicLab.Persistence.Core.ConfigurationService.Instance.LoadSettings();
101          XmlGenerator.Serialize(osga, fullPath, CompressionLevel.Fastest);
102        }
103      }
104    }
105  }
106}
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