Operators

Operators are the key to customize genetic algorithms. In the following, the different types of operators are listed. For details about each operator, we refer to our corresponding documentation.

Sampling

Name	Convenience
Random	“(real|int|real)_random”
Latin Hypercube Sampling	“real_lhs”
Random Permutation Sampling	“perm_random”

Selection

Name	Convenience
Random	“random”
Tournament Selection	“tournament”

Mutation

Name	Convenience
Polynomial	“(real|int)_pm”
Bitflip	“bin_bitflip”
Inverse Mutation	“perm_inv”

Crossover

Name	Convenience
Simulated Binary	“(real|int)_sbx”
Uniform	“(real|bin|int)_ux”
Half Uniform	“(bin|int)_hux”
Differential Evolution	“real_de”
One Point	“(real|int|real)_one_point”
Two Point	“(real|int|real)_two_point”
K Point	“(real|int|real)_k_point”
Exponential	“(real|bin|int)_exp”
Order Crossover	“perm_ox”
Edge Recombination Crossover	“perm_erx”