sbx_operator: Simulated binary crossover operator

In emoa: Evolutionary Multiobjective Optimization Algorithms

Simulated binary crossover operator

Description

Returns a simulated binary crossover operator with the given parameters.

Usage

sbx_operator(n, p, lower, upper)

Arguments

n	Distance parameter of crossover distribution (\eta).
p	Probability of one point crossover.
lower	Lower bounds of parameter space.
upper	Upper bounds of parameter space.

Value

Function with one parameter x which takes a matrix containing two sets of parameters and returns a matrix of two sets of parameters which resulted from the crossover operation. As with all emoa functions, the parameter sets are stored in the columns of x. x should therefore always have two columns and a warning will be given if it has more than two columns.

Author(s)

Olaf Mersmann [e-mail]

See Also

pm_operator

emoa documentation built on Sept. 11, 2024, 8:57 p.m.