#region License Information
/* HeuristicLab
* Copyright (C) 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.Encodings.BinaryVectorEncoding;
using HeuristicLab.Parameters;
using HEAL.Attic;
namespace HeuristicLab.Problems.Knapsack {
///
/// An operator to evaluate one bitflip moves.
///
[Item("KnapsackOneBitflipMoveEvaluator", "Base class for evaluating one bitflip moves.")]
[StorableType("E1BB4CCB-E9C3-4A16-8F03-3F619D4A4B0A")]
public class KnapsackOneBitflipMoveEvaluator : KnapsackMoveEvaluator, IOneBitflipMoveOperator {
public ILookupParameter OneBitflipMoveParameter {
get { return (ILookupParameter)Parameters["OneBitflipMove"]; }
}
[StorableConstructor]
protected KnapsackOneBitflipMoveEvaluator(StorableConstructorFlag _) : base(_) { }
protected KnapsackOneBitflipMoveEvaluator(KnapsackOneBitflipMoveEvaluator original, Cloner cloner) : base(original, cloner) { }
public KnapsackOneBitflipMoveEvaluator()
: base() {
Parameters.Add(new LookupParameter("OneBitflipMove", "The move to evaluate."));
}
public override IDeepCloneable Clone(Cloner cloner) {
return new KnapsackOneBitflipMoveEvaluator(this, cloner);
}
public override IOperation Apply() {
BinaryVector binaryVector = BinaryVectorParameter.ActualValue;
OneBitflipMove move = OneBitflipMoveParameter.ActualValue;
BinaryVector newSolution = new BinaryVector(binaryVector);
newSolution[move.Index] = !newSolution[move.Index];
DoubleValue quality = KnapsackEvaluator.Apply(newSolution,
KnapsackCapacityParameter.ActualValue,
PenaltyParameter.ActualValue,
WeightsParameter.ActualValue,
ValuesParameter.ActualValue).Quality;
double moveQuality = quality.Value;
if (MoveQualityParameter.ActualValue == null) MoveQualityParameter.ActualValue = new DoubleValue(moveQuality);
else MoveQualityParameter.ActualValue.Value = moveQuality;
return base.Apply();
}
}
}