#region License Information
/* HeuristicLab
* Copyright (C) Joseph Helm and 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.Encodings.PermutationEncoding;
using HEAL.Attic;
namespace HeuristicLab.Problems.BinPacking3D {
[Item("Swap2MoveEvaluator", "Move evaluator for 2-opt moves.")]
[StorableType("CF5E678F-E420-4825-A3FE-AE48D9B9B7C0")]
public sealed class Swap2MoveEvaluator : MoveEvaluatorBase, IPermutationSwap2MoveOperator {
public ILookupParameter Swap2MoveParameter {
get { return MoveParameter; }
}
public ILookupParameter PermutationParameter {
get { return EncodedSolutionParameter; }
}
[StorableConstructor]
private Swap2MoveEvaluator(StorableConstructorFlag _) : base(_) { }
private Swap2MoveEvaluator(Swap2MoveEvaluator original, Cloner cloner) : base(original, cloner) { }
public Swap2MoveEvaluator()
: base() {
}
public override IDeepCloneable Clone(Cloner cloner) {
return new Swap2MoveEvaluator(this, cloner);
}
public override double EvaluateMove(Permutation permutation, Swap2Move move, PackingShape binShape, ReadOnlyItemList items, bool useStackingConstraints) {
// uses full evaluation
Swap2Manipulator.Apply(permutation, move.Index1, move.Index2);
var solution = DecoderParameter.ActualValue.Decode(permutation, binShape, items, useStackingConstraints);
return SolutionEvaluatorParameter.ActualValue.Evaluate(solution);
}
}
}