public class CrossoverDoubleUnfairAverage extends CrossoverDouble
CrossoverDoubleUnfairAverage implements the unfair average
crossover proposed by Nomura and Miyhoshi, 1996.
The unfair average crossover is applied to the whole genotype, i.e., the used vector of double values. In the original work, two offspring created using
z_1 = (1 + alpha)x - alpha * y for i = 1, ..., j and
z_1 = -alpha * x + (1 + alpha)y for i = j + 1, ..., n
z_2 = (1 - alpha)x + alpha * y for i = 1, ..., j and
z_2 = alpha * x + (1 - alpha)y for i = j + 1, ..., n
for each double value in the double vector. In this implementation, one
offspring is created following z_1 with a probability of 0.5
and following z_2 with a probability of 0.5, respectively. At
this juncture, n is the number of variables in the vector and
j a randomly chosen integer between 1 and n. The
value alpha is within the range (0, 0.5).
Unlike the BLX and SBX operator, the unfair average will create offspring towards one of the parent solutions.
| Constructor and Description |
|---|
CrossoverDoubleUnfairAverage(double alpha,
NormalizeDouble normalize,
Rand random)
Constructs an
CrossoverDoubleUnfairAverage with an alpha value
and a random number generator. |
@Inject
public CrossoverDoubleUnfairAverage(double alpha,
NormalizeDouble normalize,
Rand random)
CrossoverDoubleUnfairAverage with an alpha value
and a random number generator.alpha - the alpha valuenormalize - a normalize operatorrandom - the random number generator