1 | #region License Information
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2 |
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3 | /* HeuristicLab
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4 | * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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5 | *
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6 | * This file is part of HeuristicLab.
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7 | *
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8 | * HeuristicLab is free software: you can redistribute it and/or modify
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9 | * it under the terms of the GNU General Public License as published by
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10 | * the Free Software Foundation, either version 3 of the License, or
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11 | * (at your option) any later version.
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12 | *
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13 | * HeuristicLab is distributed in the hope that it will be useful,
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14 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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15 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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16 | * GNU General Public License for more details.
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17 | *
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18 | * You should have received a copy of the GNU General Public License
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19 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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20 | */
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21 |
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22 | #endregion
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23 |
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24 | using System;
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25 | using System.Linq;
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26 | using HeuristicLab.Common;
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27 | using HeuristicLab.Core;
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28 | using HeuristicLab.Data;
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29 | using HeuristicLab.Optimization;
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30 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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31 |
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32 | namespace HeuristicLab.Encodings.SymbolicExpressionTreeEncoding {
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33 | [StorableClass]
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34 | public abstract class SymbolicExpressionTreeProblem : SingleObjectiveProblem<SymbolicExpressionTreeEncoding, ISymbolicExpressionTree> {
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35 |
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36 | // persistence
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37 | [StorableConstructor]
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38 | protected SymbolicExpressionTreeProblem(bool deserializing) : base(deserializing) { }
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39 | [StorableHook(HookType.AfterDeserialization)]
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40 | private void AfterDeserialization() { }
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41 |
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42 |
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43 | // cloning
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44 | protected SymbolicExpressionTreeProblem(SymbolicExpressionTreeProblem original, Cloner cloner)
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45 | : base(original, cloner) {
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46 | }
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47 |
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48 | protected SymbolicExpressionTreeProblem() : base() { }
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49 |
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50 | public override void Analyze(ISymbolicExpressionTree[] trees, double[] qualities, ResultCollection results,
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51 | IRandom random) {
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52 | if (!results.ContainsKey("Best Solution Quality")) {
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53 | results.Add(new Result("Best Solution Quality", typeof(DoubleValue)));
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54 | }
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55 | if (!results.ContainsKey("Best Solution")) {
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56 | results.Add(new Result("Best Solution", typeof(ISymbolicExpressionTree)));
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57 | }
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58 |
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59 | var bestQuality = Maximization ? qualities.Max() : qualities.Min();
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60 |
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61 | if (results["Best Solution Quality"].Value == null ||
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62 | IsBetter(bestQuality, ((DoubleValue)results["Best Solution Quality"].Value).Value)) {
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63 | var bestIdx = Array.IndexOf(qualities, bestQuality);
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64 | var bestClone = (IItem)trees[bestIdx].Clone();
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65 | results["Best Solution"].Value = bestClone;
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66 | results["Best Solution Quality"].Value = new DoubleValue(bestQuality);
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67 | }
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68 | }
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69 | }
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70 | }
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