#region License Information /* HeuristicLab * Copyright (C) 2002-2013 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 HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; namespace HeuristicLab.Algorithms.CMAEvolutionStrategy { [Item("CMA Linear-weighted Recombinator", "Calculates weighted mean using linear increasing weights.")] [StorableClass] public class CMALinearweightedRecombinator : CMARecombinator { [StorableConstructor] protected CMALinearweightedRecombinator(bool deserializing) : base(deserializing) { } protected CMALinearweightedRecombinator(CMALinearweightedRecombinator original, Cloner cloner) : base(original, cloner) { } public CMALinearweightedRecombinator() : base() { } public override IDeepCloneable Clone(Cloner cloner) { return new CMALinearweightedRecombinator(this, cloner); } protected override DoubleArray GetWeights(int mu) { var weights = new DoubleArray(mu); var sum = (mu + 1) * mu / 2.0; // sum of arithmetic progression mu..1 for (int i = 0; i < mu; i++) weights[i] = (mu - i) / sum; return weights; } } }