private LocalSearchImprovementOperator(LocalSearchImprovementOperator original, Cloner cloner)
: base(original, cloner)
{
this.loop = cloner.Clone(original.loop);
this.qualityAnalyzer = cloner.Clone(original.qualityAnalyzer);
this.problem = cloner.Clone(original.problem);
RegisterEventHandlers();
}
private SimulatedAnnealingImprovementOperator(SimulatedAnnealingImprovementOperator original, Cloner cloner)
: base(original, cloner)
{
this.problem = cloner.Clone(original.problem);
this.loop = cloner.Clone(original.loop);
this.qualityAnalyzer = cloner.Clone(original.qualityAnalyzer);
RegisterEventHandlers();
}
public void Parameterize(IParameter qualityParameter, ISingleObjectiveHeuristicOptimizationProblem problem)
{
ComparisonValueParameter.ActualName = qualityParameter.Name;
if (problem == null)
{
return;
}
var maximizationParameter = (IValueParameter <BoolValue>)problem.MaximizationParameter;
if (maximizationParameter != null)
{
bool maximization = maximizationParameter.Value.Value;
ComparisonType = maximization ? ComparisonType.Less : ComparisonType.Greater;
Threshold.Value = maximization ? double.MaxValue : double.MinValue;
}
}
private LocalSearchImprovementOperator(LocalSearchImprovementOperator original, Cloner cloner)
: base(original, cloner) {
this.loop = cloner.Clone(original.loop);
this.qualityAnalyzer = cloner.Clone(original.qualityAnalyzer);
this.problem = cloner.Clone(original.problem);
RegisterEventHandlers();
}
private SimulatedAnnealingImprovementOperator(SimulatedAnnealingImprovementOperator original, Cloner cloner)
: base(original, cloner) {
this.problem = cloner.Clone(original.problem);
this.loop = cloner.Clone(original.loop);
this.qualityAnalyzer = cloner.Clone(original.qualityAnalyzer);
RegisterEventHandlers();
}
