1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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4 | *
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5 | * This file is part of HeuristicLab.
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6 | *
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7 | * HeuristicLab is free software: you can redistribute it and/or modify
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8 | * it under the terms of the GNU General Public License as published by
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9 | * the Free Software Foundation, either version 3 of the License, or
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10 | * (at your option) any later version.
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11 | *
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12 | * HeuristicLab is distributed in the hope that it will be useful,
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13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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15 | * GNU General Public License for more details.
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16 | *
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17 | * You should have received a copy of the GNU General Public License
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18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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19 | */
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20 | #endregion
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21 |
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22 | using HeuristicLab.Common;
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23 | using HeuristicLab.Core;
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24 | using HeuristicLab.Data;
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25 | using HEAL.Attic;
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26 |
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27 | namespace HeuristicLab.Optimization {
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28 | [Item("SingleObjectiveQualityTerminator", "A termination criterion which uses a quality parameter (eg. current best quality) for termination.")]
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29 | [StorableType("A32469FB-7370-46E3-AB7F-EAF8053AF105")]
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30 | public class SingleObjectiveQualityTerminator : ComparisonTerminator<DoubleValue> {
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31 | [StorableConstructor]
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32 | protected SingleObjectiveQualityTerminator(StorableConstructorFlag _) : base(_) { }
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33 | protected SingleObjectiveQualityTerminator(SingleObjectiveQualityTerminator original, Cloner cloner)
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34 | : base(original, cloner) { }
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35 | public override IDeepCloneable Clone(Cloner cloner) {
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36 | return new SingleObjectiveQualityTerminator(this, cloner);
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37 | }
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38 | public SingleObjectiveQualityTerminator() { }
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39 |
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40 | public void Parameterize(IParameter qualityParameter, ISingleObjectiveHeuristicOptimizationProblem problem) {
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41 | ComparisonValueParameter.ActualName = qualityParameter.Name;
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42 | if (problem == null) return;
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43 |
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44 | var maximizationParameter = (IValueParameter<BoolValue>)problem.MaximizationParameter;
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45 | if (maximizationParameter != null) {
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46 | bool maximization = maximizationParameter.Value.Value;
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47 | ComparisonType = maximization ? ComparisonType.Less : ComparisonType.Greater;
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48 | Threshold.Value = maximization ? double.MaxValue : double.MinValue;
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49 | }
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50 | }
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51 | }
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52 | } |
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