#region License Information /* HeuristicLab * Copyright (C) 2002-2008 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.Collections.Generic; using System.Text; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Evolutionary; namespace HeuristicLab.RealVector { public abstract class RealVectorMultiCrossoverBase : MultiCrossoverBase { public RealVectorMultiCrossoverBase() : base() { AddVariableInfo(new VariableInfo("RealVector", "Parent and child real vector", typeof(DoubleArrayData), VariableKind.In | VariableKind.New)); } protected sealed override void Cross(IScope scope, IRandom random, IScope[] parents, IScope child) { IList parentsList = new List(parents.Length); for (int i = 0; i < parents.Length; i++) parentsList.Add(parents[i].GetVariableValue("RealVector", false).Data); double[] result = Cross(scope, random, parentsList); child.AddVariable(new Variable(child.TranslateName("RealVector"), new DoubleArrayData(result))); } protected abstract double[] Cross(IScope scope, IRandom random, IList parents); } }