Operators#

Layer 2: Compose

Crossover#

`saealib.Crossover`	Base class for crossover operators.
`saealib.CrossoverBLXAlpha`	BLX-alpha crossover operator.
`saealib.CrossoverSBX`	Simulated Binary Crossover (SBX) operator.
`saealib.CrossoverUniform`	Uniform crossover operator.
`saealib.CrossoverOnePoint`	One-point crossover operator.
`saealib.CrossoverTwoPoint`	Two-point crossover operator.
`saealib.CrossoverIntegerSBX`	Simulated Binary Crossover (SBX) for integer-valued dimensions.
`saealib.CrossoverCategorical`	Uniform crossover for categorical dimensions.

`saealib.Mutation`	Base class for mutation operators.
`saealib.MutationUniform`	Uniform mutation operator.
`saealib.MutationPolynomial`	Polynomial mutation operator.
`saealib.MutationGaussian`	Gaussian mutation operator.
`saealib.MutationIntegerUniform`	Uniform integer mutation.
`saealib.MutationCategorical`	Uniform categorical mutation.

`saealib.ParentSelection`	Base class for parent selection operators.
`saealib.TournamentSelection`	Tournament selection operator.
`saealib.SequentialSelection`	Sequential selection operator.
`saealib.LinearRankSelection`	Parent selection using linear rank-based probabilities.
`saealib.SurvivorSelection`	Base class for survivor selection operators.
`saealib.TruncationSelection`	Truncation selection operator.

saealib.repair_clipping(candidates, bounds)[source]#

Repair operator that clips candidates to the given bounds.

Parameters:

candidates (np.ndarray) – Candidate solutions to be repaired, shape (n, dim).
bounds (tuple[np.ndarray, np.ndarray]) – A (lb, ub) pair of lower and upper bound arrays.

Returns:

Repaired candidates.

Return type:

np.ndarray

Filter offspring that duplicate any member of the current population.

`saealib.PymooCrossover`	Adapter wrapping a pymoo crossover operator as a saealib `Crossover`.
`saealib.PymooMutation`	Adapter wrapping a pymoo mutation operator as a saealib `Mutation`.