#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 HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Optimization; using HeuristicLab.Parameters; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; namespace HeuristicLab.Encodings.LinearLinkageEncoding { [Item("StochasticSwap2MultiMoveGenerator", "Randomly samples n from all possible swap-2 moves from a given lle grouping.")] [StorableClass] public class StochasticSwap2MultiMoveGenerator : Swap2MoveGenerator, IMultiMoveGenerator, IStochasticOperator { public ILookupParameter RandomParameter { get { return (ILookupParameter)Parameters["Random"]; } } public IValueLookupParameter SampleSizeParameter { get { return (IValueLookupParameter)Parameters["SampleSize"]; } } public IntValue SampleSize { get { return SampleSizeParameter.Value; } set { SampleSizeParameter.Value = value; } } [StorableConstructor] protected StochasticSwap2MultiMoveGenerator(bool deserializing) : base(deserializing) { } protected StochasticSwap2MultiMoveGenerator(StochasticSwap2MultiMoveGenerator original, Cloner cloner) : base(original, cloner) { } public StochasticSwap2MultiMoveGenerator() : base() { Parameters.Add(new LookupParameter("Random", "The random number generator.")); Parameters.Add(new ValueLookupParameter("SampleSize", "The number of moves to generate.")); } public override IDeepCloneable Clone(Cloner cloner) { return new StochasticSwap2MultiMoveGenerator(this, cloner); } public static Swap2Move[] Apply(LinearLinkage lle, IRandom random, int sampleSize) { int length = lle.Length; Swap2Move[] moves = new Swap2Move[sampleSize]; for (int i = 0; i < sampleSize; i++) { moves[i] = StochasticSwap2SingleMoveGenerator.Apply(lle, random); } return moves; } protected override Swap2Move[] GenerateMoves(LinearLinkage lle) { IRandom random = RandomParameter.ActualValue; return Apply(lle, random, SampleSizeParameter.ActualValue.Value); } } }