public override IOperation Apply()
{
var permutation = PermutationParameter.ActualValue;
double relativeQualityDifference = 0;
var distanceMatrix = DistanceMatrixParameter.ActualValue;
if (distanceMatrix == null)
{
throw new InvalidOperationException("The distance matrix is not given.");
}
var move = InversionMoveParameter.ActualValue;
relativeQualityDifference = TSPInversionMovePathEvaluator.EvaluateByDistanceMatrix(permutation, move, distanceMatrix);
var moveQuality = MoveQualityParameter.ActualValue;
if (moveQuality == null)
{
MoveQualityParameter.ActualValue = new DoubleValue(QualityParameter.ActualValue.Value + relativeQualityDifference);
}
else
{
moveQuality.Value = QualityParameter.ActualValue.Value + relativeQualityDifference;
}
return(base.Apply());
}
public override IOperation Apply()
{
var solution = CurrentScope.Variables[SolutionParameter.ActualName].Value as Permutation;
if (solution == null)
{
throw new ArgumentException("Cannot improve solution because it has the wrong type.");
}
if (solution.PermutationType != PermutationTypes.RelativeUndirected)
{
throw new ArgumentException("Cannot improve solution because the permutation type is not supported.");
}
for (int i = 0; i < ImprovementAttempts.Value; i++)
{
var move = StochasticInversionSingleMoveGenerator.Apply(solution, Random);
double moveQualtiy = TSPInversionMovePathEvaluator.EvaluateByDistanceMatrix(solution, move, DistanceMatrix);
if (moveQualtiy < 0)
{
InversionManipulator.Apply(solution, move.Index1, move.Index2);
}
}
CurrentScope.Variables.Add(new Variable("LocalEvaluatedSolutions", ImprovementAttempts));
return(base.Apply());
}
