#region License Information /* HeuristicLab * Copyright (C) 2002-2010 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.Core; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; using HeuristicLab.Optimization; namespace HeuristicLab.Encodings.PermutationEncoding { [Item("ExhaustiveInversionMoveGenerator", "Generates all possible inversion moves (2-opt) from a given permutation.")] [StorableClass] public class ExhaustiveInversionMoveGenerator : InversionMoveGenerator, IExhaustiveMoveGenerator { public static InversionMove[] Apply(Permutation permutation) { int length = permutation.Length; int totalMoves = (length) * (length - 1) / 2; InversionMove[] moves = null; int count = 0; if (permutation.PermutationType == PermutationTypes.RelativeUndirected) { moves = new InversionMove[totalMoves - 3]; for (int i = 0; i < length - 1; i++) { for (int j = i + 1; j < length; j++) { // doesn't make sense to inverse the whole permutation or the whole but one in case of relative undirected permutations if (j - i >= length - 2) continue; moves[count++] = new InversionMove(i, j); } } } else { moves = new InversionMove[totalMoves]; for (int i = 0; i < length - 1; i++) for (int j = i + 1; j < length; j++) { moves[count++] = new InversionMove(i, j); } } return moves; } protected override InversionMove[] GenerateMoves(Permutation permutation) { return Apply(permutation); } } }