protected AdditiveMove(AdditiveMove original, Cloner cloner)
: base(original, cloner) {
this.Dimension = original.Dimension;
this.MoveDistance = original.MoveDistance;
if (original.RealVector != null)
this.RealVector = cloner.Clone(original.RealVector);
}
protected override double Evaluate(double quality, RealVector point, AdditiveMove move) {
RealVectorAdditiveMoveWrapper wrapper = new RealVectorAdditiveMoveWrapper(move, point);
var eval = EvaluatorParameter.ActualValue as MultinormalEvaluator;
if (eval != null)
return eval.Evaluate(wrapper);
throw new InvalidOperationException("evaluator is not a multinormal evaluator");
}
public override IOperation Apply()
{
ItemList <IItem> tabuList = TabuListParameter.ActualValue;
AdditiveMove move = AdditiveMoveParameter.ActualValue;
RealVector vector = RealVectorParameter.ActualValue;
double moveQuality = MoveQualityParameter.ActualValue.Value;
bool maximization = MaximizationParameter.ActualValue.Value;
bool useAspiration = UseAspirationCriterion.Value;
bool isTabu = false;
foreach (IItem tabuMove in tabuList)
{
AdditiveMoveTabuAttribute attribute = (tabuMove as AdditiveMoveTabuAttribute);
if (attribute != null && attribute.Dimension == move.Dimension)
{
if (!useAspiration ||
maximization && moveQuality <= attribute.MoveQuality ||
!maximization && moveQuality >= attribute.MoveQuality)
{
double newPos = vector[move.Dimension] + move.MoveDistance;
if (Math.Min(attribute.MovedPosition, attribute.OriginalPosition) < newPos &&
newPos < Math.Max(attribute.MovedPosition, attribute.OriginalPosition))
{
isTabu = true;
break;
}
}
}
}
MoveTabuParameter.ActualValue = new BoolValue(isTabu);
return(base.Apply());
}
protected AdditiveMove(AdditiveMove original, Cloner cloner)
: base(original, cloner)
{
this.Dimension = original.Dimension;
this.MoveDistance = original.MoveDistance;
if (original.RealVector != null)
{
this.RealVector = cloner.Clone(original.RealVector);
}
}
protected override IItem GetTabuAttribute(bool maximization, double quality, double moveQuality)
{
AdditiveMove move = AdditiveMoveParameter.ActualValue;
RealVector vector = RealVectorParameter.ActualValue;
double baseQuality = moveQuality;
if (maximization && quality > moveQuality || !maximization && quality < moveQuality)
{
baseQuality = quality;
}
return(new AdditiveMoveTabuAttribute(move.Dimension, vector[move.Dimension], vector[move.Dimension] + move.MoveDistance, baseQuality));
}
public override IOperation Apply()
{
AdditiveMove move = AdditiveMoveParameter.ActualValue;
RealVector realVector = RealVectorParameter.ActualValue;
DoubleValue moveQuality = MoveQualityParameter.ActualValue;
DoubleValue quality = QualityParameter.ActualValue;
realVector[move.Dimension] += move.MoveDistance;
quality.Value = moveQuality.Value;
return(base.Apply());
}
public static AdditiveMove[] Apply(IRandom random, RealVector vector, double contiguity, int sampleSize, double maxManipulation, DoubleMatrix bounds) {
AdditiveMove[] moves = new AdditiveMove[sampleSize];
for (int i = 0; i < sampleSize; i++) {
int index = random.Next(vector.Length);
double strength = 0, min = bounds[index % bounds.Rows, 0], max = bounds[index % bounds.Rows, 1];
do {
strength = PolynomialOnePositionManipulator.Apply(random, contiguity) * maxManipulation;
} while (vector[index] + strength < min || vector[index] + strength > max);
moves[i] = new AdditiveMove(index, strength);
}
return moves;
}
public static AdditiveMove[] Apply(IRandom random, RealVector vector, double sigma, int sampleSize, DoubleMatrix bounds) {
AdditiveMove[] moves = new AdditiveMove[sampleSize];
NormalDistributedRandom N = new NormalDistributedRandom(random, 0, sigma);
for (int i = 0; i < sampleSize; i++) {
int index = random.Next(vector.Length);
double strength = 0, min = bounds[index % bounds.Rows, 0], max = bounds[index % bounds.Rows, 1];
do {
strength = N.NextDouble();
} while (vector[index] + strength < min || vector[index] + strength > max);
moves[i] = new AdditiveMove(index, strength);
}
return moves;
}
public static AdditiveMove[] Apply(IRandom random, RealVector vector, double contiguity, int sampleSize, double maxManipulation, DoubleMatrix bounds)
{
AdditiveMove[] moves = new AdditiveMove[sampleSize];
for (int i = 0; i < sampleSize; i++)
{
int index = random.Next(vector.Length);
double strength = 0, min = bounds[index % bounds.Rows, 0], max = bounds[index % bounds.Rows, 1];
do
{
strength = PolynomialOnePositionManipulator.Apply(random, contiguity) * maxManipulation;
} while (vector[index] + strength <min || vector[index] + strength> max);
moves[i] = new AdditiveMove(index, strength);
}
return(moves);
}
public static AdditiveMove[] Apply(IRandom random, RealVector vector, double sigma, int sampleSize, DoubleMatrix bounds)
{
AdditiveMove[] moves = new AdditiveMove[sampleSize];
NormalDistributedRandom N = new NormalDistributedRandom(random, 0, sigma);
for (int i = 0; i < sampleSize; i++)
{
int index = random.Next(vector.Length);
double strength = 0, min = bounds[index % bounds.Rows, 0], max = bounds[index % bounds.Rows, 1];
do
{
strength = N.NextDouble();
} while (vector[index] + strength <min || vector[index] + strength> max);
moves[i] = new AdditiveMove(index, strength);
}
return(moves);
}
protected override double Evaluate(double quality, RealVector point, AdditiveMove move) {
RealVectorAdditiveMoveWrapper wrapper = new RealVectorAdditiveMoveWrapper(move, point);
return RastriginEvaluator.Apply(wrapper, A.Value);
}
protected override double Evaluate(double quality, RealVector point, AdditiveMove move) {
RealVectorAdditiveMoveWrapper wrapper = new RealVectorAdditiveMoveWrapper(move, point);
return BoothEvaluator.Apply(wrapper);
}
public RealVectorAdditiveMoveWrapper(AdditiveMove move, RealVector vector) {
dimension = move.Dimension;
moveDistance = move.MoveDistance;
this.vector = vector;
}
protected abstract double Evaluate(double quality, RealVector point, AdditiveMove move);
protected override double Evaluate(double quality, RealVector point, AdditiveMove move) {
return RandomParameter.ActualValue.NextDouble();
}
protected override double Evaluate(double quality, RealVector point, AdditiveMove move) {
RealVectorAdditiveMoveWrapper wrapper = new RealVectorAdditiveMoveWrapper(move, point);
return SphereEvaluator.Apply(wrapper, C.Value, Alpha.Value);
}
