[14741] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2016 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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[17332] | 24 | using HEAL.Attic;
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[14741] | 25 | using HeuristicLab.Encodings.RealVectorEncoding;
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| 26 |
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| 27 | // ReSharper disable once CheckNamespace
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| 28 | namespace HeuristicLab.Algorithms.EGO {
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| 29 |
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[17332] | 30 | [StorableType("21e5b05a-7603-46c4-8692-9e672b586244")]
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| 31 | [Item("ExpectedQualityMeassure", "Use the quality predicted by the model")]
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[14741] | 32 | public class ExpectedQuality : InfillCriterionBase {
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[15064] | 33 | #region Constructors, Serialization and Cloning
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[14741] | 34 | [StorableConstructor]
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[17332] | 35 | protected ExpectedQuality(StorableConstructorFlag deserializing) : base(deserializing) { }
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[15064] | 36 | protected ExpectedQuality(ExpectedQuality original, Cloner cloner) : base(original, cloner) { }
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[14741] | 37 | public ExpectedQuality() { }
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| 38 | public override IDeepCloneable Clone(Cloner cloner) {
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| 39 | return new ExpectedQuality(this, cloner);
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| 40 | }
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| 41 | #endregion
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| 42 |
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[14818] | 43 | public override double Evaluate(RealVector vector) {
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[15064] | 44 | return ExpensiveMaximization ? RegressionSolution.Model.GetEstimation(vector) : -RegressionSolution.Model.GetEstimation(vector);
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[14741] | 45 | }
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[14818] | 46 |
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[15064] | 47 | public override void Initialize() {
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[14818] | 48 | }
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[14741] | 49 | }
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| 50 | }
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