metaheuristic_designer.survivor_selection.survivor_selection_functions

Functions

cond_elitism(population_fitness, ...)	Conditional (fitness-based) elitism.
elitism(population_fitness, ...)	Standard elitism.
generational(population_fitness, ...)	Full generational replacement: the entire next generation is formed exclusively by the offspring.
keep_best(population_fitness, ...)	Combined selection: the best n_parents individuals from the union of parents and offspring survive.
keep_best_offspring(population_fitness, ...)	Offspring-only selection: the best n_parents offspring survive.
many_to_one(population_fitness, ...)	Many-to-one competition.
one_to_one(population_fitness, ...)	One-to-one competition: each offspring replaces its parent if it has a better (higher) fitness.
prob_many_to_one(population_fitness, ...)	Probabilistic many-to-one competition.
prob_one_to_one(population_fitness, ...)	Probabilistic one-to-one competition.
random_replacement(population_fitness, ...)	Randomly replaces the parents with some of the individuals.