#region License Information /* HeuristicLab * Copyright (C) 2002-2010 Heuristic and Evolutionary Algorithms Laboratory (HEAL) * * This file is part of HeuristicLab. * * HeuristicLab is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * HeuristicLab is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with HeuristicLab. If not, see . */ #endregion using System; using System.Linq; using HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Encodings.RealVectorEncoding; using HeuristicLab.Parameters; using HeuristicLab.Problems.TestFunctions.Evaluators; using HEAL.Attic; namespace HeuristicLab.Problems.TestFunctions { [Item("CustomAdditiveMoveEvaluator", "Class for evaluating an additive move on a custom test function.")] [StorableType("F50ACE87-C3E0-42BA-B70C-57EEEEF2DF42")] public class CustomAdditiveMoveEvaluator : AdditiveMoveEvaluator { public LookupParameter EvaluatorParameter { get { return (LookupParameter)Parameters["Evaluator"]; } } [StorableConstructor] protected CustomAdditiveMoveEvaluator(StorableConstructorFlag _) : base(_) { } protected CustomAdditiveMoveEvaluator(CustomAdditiveMoveEvaluator original, Cloner cloner) : base(original, cloner) { } public CustomAdditiveMoveEvaluator() { Parameters.Add(new LookupParameter("Evaluator", "")); } public override IDeepCloneable Clone(Cloner cloner) { return new CustomAdditiveMoveEvaluator(this, cloner); } public override System.Type EvaluatorType { get { return typeof(CustomEvaluator); } } protected override double Evaluate(double quality, RealVector point, AdditiveMove move) { RealVector vector = new RealVector(point.Select((x, i) => move.Dimension == i ? x + move.MoveDistance : x).ToArray()); var eval = EvaluatorParameter.ActualValue as CustomEvaluator; if (eval != null) return eval.Evaluate(vector); throw new InvalidOperationException("evaluator is not a custom evaluator"); } } }