Operators¶

Operators are the key to customize genetic algorithms. In the following the different type 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”