#region License Information /* HeuristicLab * Copyright (C) 2002-2014 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 HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Parameters; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; namespace HeuristicLab.Encodings.IntegerVectorEncoding { [Item("BoundedIntegerVectorCrossover", "Base class for bounded crossovers.")] [StorableClass] public abstract class BoundedIntegerVectorCrossover : IntegerVectorCrossover, IBoundedIntegerVectorOperator { public IValueLookupParameter BoundsParameter { get { return (IValueLookupParameter)Parameters["Bounds"]; } } [StorableConstructor] protected BoundedIntegerVectorCrossover(bool deserializing) : base(deserializing) { } protected BoundedIntegerVectorCrossover(BoundedIntegerVectorCrossover original, Cloner cloner) : base(original, cloner) { } public BoundedIntegerVectorCrossover() : base() { Parameters.Add(new ValueLookupParameter("Bounds", "The bounds matrix can contain one row for each dimension with three columns specifying minimum (inclusive), maximum (exclusive), and step size. If less rows are given the matrix is cycled.")); } protected sealed override IntegerVector Cross(IRandom random, ItemArray parents) { if (BoundsParameter.ActualValue == null) throw new InvalidOperationException(Name + ": Bounds are not defined!"); return CrossBounded(random, parents, BoundsParameter.ActualValue); } protected abstract IntegerVector CrossBounded(IRandom random, ItemArray parents, IntMatrix bounds); } }