#region License Information /* HeuristicLab * Copyright (C) 2002-2018 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.Persistence.Default.CompositeSerializers.Storable; namespace HeuristicLab.Algorithms.CMAEvolutionStrategy { [Item("CMA Log-weighted Recombinator", "Calculates weighted mean based on a logarithmic decreasing weights.")] [StorableClass] public class CMALogweightedRecombinator : CMARecombinator { [StorableConstructor] protected CMALogweightedRecombinator(bool deserializing) : base(deserializing) { } protected CMALogweightedRecombinator(CMALogweightedRecombinator original, Cloner cloner) : base(original, cloner) { } public CMALogweightedRecombinator() : base() { } public override IDeepCloneable Clone(Cloner cloner) { return new CMALogweightedRecombinator(this, cloner); } protected override double[] GetWeights(int mu) { var weights = new double[mu]; for (int i = 0; i < mu; i++) weights[i] = Math.Log((mu + 1.0) / (i + 1.0)); var sum = weights.Sum(); for (int i = 0; i < mu; i++) weights[i] /= sum; return weights; } } }