private OneMaxSolution(OneMaxSolution original, Cloner cloner)
: base(original, cloner)
{
binaryVector = cloner.Clone(original.binaryVector);
quality = cloner.Clone(original.quality);
Initialize();
}
public override IOperation Apply()
{
ItemArray <BinaryVector> binaryVectors = BinaryVectorParameter.ActualValue;
ItemArray <DoubleValue> qualities = QualityParameter.ActualValue;
ResultCollection results = ResultsParameter.ActualValue;
bool max = MaximizationParameter.ActualValue.Value;
DoubleValue bestKnownQuality = BestKnownQualityParameter.ActualValue;
int i = -1;
if (!max)
{
i = qualities.Select((x, index) => new { index, x.Value }).OrderBy(x => x.Value).First().index;
}
else
{
i = qualities.Select((x, index) => new { index, x.Value }).OrderByDescending(x => x.Value).First().index;
}
if (bestKnownQuality == null ||
max && qualities[i].Value > bestKnownQuality.Value ||
!max && qualities[i].Value < bestKnownQuality.Value)
{
BestKnownQualityParameter.ActualValue = new DoubleValue(qualities[i].Value);
}
OneMaxSolution solution = BestSolutionParameter.ActualValue;
if (solution == null)
{
solution = new OneMaxSolution((BinaryVector)binaryVectors[i].Clone(), new DoubleValue(qualities[i].Value));
BestSolutionParameter.ActualValue = solution;
results.Add(new Result("Best OneMax Solution", solution));
}
else
{
if (max && qualities[i].Value > solution.Quality.Value ||
!max && qualities[i].Value < solution.Quality.Value)
{
solution.BinaryVector = (BinaryVector)binaryVectors[i].Clone();
solution.Quality = new DoubleValue(qualities[i].Value);
}
}
return(base.Apply());
}
public override IOperation Apply() {
ItemArray<BinaryVector> binaryVectors = BinaryVectorParameter.ActualValue;
ItemArray<DoubleValue> qualities = QualityParameter.ActualValue;
ResultCollection results = ResultsParameter.ActualValue;
bool max = MaximizationParameter.ActualValue.Value;
DoubleValue bestKnownQuality = BestKnownQualityParameter.ActualValue;
int i = -1;
if (!max)
i = qualities.Select((x, index) => new { index, x.Value }).OrderBy(x => x.Value).First().index;
else i = qualities.Select((x, index) => new { index, x.Value }).OrderByDescending(x => x.Value).First().index;
if (bestKnownQuality == null ||
max && qualities[i].Value > bestKnownQuality.Value ||
!max && qualities[i].Value < bestKnownQuality.Value) {
BestKnownQualityParameter.ActualValue = new DoubleValue(qualities[i].Value);
}
OneMaxSolution solution = BestSolutionParameter.ActualValue;
if (solution == null) {
solution = new OneMaxSolution((BinaryVector)binaryVectors[i].Clone(), new DoubleValue(qualities[i].Value));
BestSolutionParameter.ActualValue = solution;
results.Add(new Result("Best OneMax Solution", solution));
} else {
if (max && qualities[i].Value > solution.Quality.Value ||
!max && qualities[i].Value < solution.Quality.Value) {
solution.BinaryVector = (BinaryVector)binaryVectors[i].Clone();
solution.Quality = new DoubleValue(qualities[i].Value);
}
}
return base.Apply();
}
private OneMaxSolution(OneMaxSolution original, Cloner cloner)
: base(original, cloner) {
binaryVector = cloner.Clone(original.binaryVector);
quality = cloner.Clone(original.quality);
Initialize();
}
