Struct genetic_algorithm::crossover::CrossoverUniform

pub struct CrossoverUniform {
    pub parent_survival_rate: f32,
}

Crossover with 50% probability for each gene to come from one of the two parents. Optionally keep a percentage of the parents around to compete with children later on.

Actually implemented as CrossoverMultiGene::new(<genes_size> / 2, allow_duplicates=true, parent_survival_rate)

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

Fields

parent_survival_rate: f32

Implementations

impl Uniform

pub fn new(parent_survival_rate: f32) -> Self

Trait Implementations

impl Clone for Uniform

fn clone(&self) -> Uniform

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Crossover for Uniform

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 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 Uniform

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

Formats the value using the given formatter.

impl From<Uniform> for Wrapper

fn from(crossover: CrossoverUniform) -> Self

Converts to this type from the input type.