Struct genetic_algorithm::crossover::CrossoverMultiGene

pub struct CrossoverMultiGene {
    pub number_of_crossovers: usize,
    pub allow_duplicates: bool,
}

Crossover multiple genes between the parents. The gene positions are chosen with uniform probability. Choose between allowing duplicate crossovers of the same gene or not (~2x slower). The population is restored towards the target_population_size by keeping the best parents alive. Excess parents are dropped.

Not allowed for UniqueGenotype and MultiUniqueGenotype as it would not preserve the gene uniqueness in the children.

Fields

number_of_crossovers: usize

allow_duplicates: bool

Implementations

impl MultiGene

pub fn new(number_of_crossovers: usize, allow_duplicates: bool) -> Self

Trait Implementations

impl Clone for MultiGene

fn clone(&self) -> MultiGene

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Crossover for MultiGene

fn call<G: Genotype, R: Rng, SR: EvolveReporter<Genotype = G>>( &mut self, genotype: &G, state: &mut EvolveState<G>, config: &EvolveConfig, _reporter: &mut SR, rng: &mut R, )

fn require_crossover_indexes(&self) -> bool

to guard against invalid Crossover strategies which break the internal consistency of the genes, unique genotypes can’t simply exchange genes without gene duplication issues

fn prepare_population<G: Genotype>( &mut self, state: &mut EvolveState<G>, config: &EvolveConfig, ) -> usize

The population is restored towards the target_population_size by keeping the best parents alive. Excess parents are dropped. The number of crossovers to execute from the front of the population is returned

fn require_crossover_points(&self) -> bool

to guard against invalid Crossover strategies which break the internal consistency of the genes, unique genotypes can’t simply exchange genes without gene duplication issues

impl Debug for MultiGene

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl From<MultiGene> for Wrapper

fn from(crossover: CrossoverMultiGene) -> Self

Converts to this type from the input type.