pymead.optimization.pop_chrom.Population

class Population(param_dict: dict, generation: int, parents: List[Chromosome], verbose: bool = True, skip_parent_assignment: bool = False)

Bases: object

__init__(param_dict: dict, generation: int, parents: List[Chromosome], verbose: bool = True, skip_parent_assignment: bool = False)

Methods

all_chromosomes_fitness_converged()
eval_chromosome_fitness(chromosome)	Evaluates the fitness of a particular chromosome
eval_pop_fitness([sig])	Evaluates the fitness of the population using parallel processing
generate_chromosome(chromosome)
generate_chromosomes_parallel()

eval_chromosome_fitness(chromosome: Chromosome)

Evaluates the fitness of a particular chromosome

eval_pop_fitness(sig: Connection | None = None)

Evaluates the fitness of the population using parallel processing