#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.Operators; namespace HeuristicLab.Evolutionary { public abstract class CrossoverBase : OperatorBase { public CrossoverBase() : base() { AddVariableInfo(new VariableInfo("Random", "Pseudo random number generator", typeof(IRandom), VariableKind.In)); } public override IOperation Apply(IScope scope) { IRandom random = GetVariableValue("Random", scope, true); if ((scope.SubScopes.Count % 2) != 0) throw new InvalidOperationException("Number of parents is not even"); int children = scope.SubScopes.Count / 2; for (int i = 0; i < children; i++) { IScope parent1 = scope.SubScopes[0]; scope.RemoveSubScope(parent1); IScope parent2 = scope.SubScopes[0]; scope.RemoveSubScope(parent2); IScope child = new Scope(i.ToString()); Cross(scope, random, parent1, parent2, child); scope.AddSubScope(child); } return null; } protected abstract void Cross(IScope scope, IRandom random, IScope parent1, IScope parent2, IScope child); } }