Struct oxigen::GeneticExecution

pub struct GeneticExecution<T, Ind: Genotype<T>> { /* private fields */ }

Struct that defines a genetic algorithm execution.

Implementations

impl<T, Ind: Genotype<T>> GeneticExecution<T, Ind>

pub fn new() -> Self

Creates a new default genetic algorithm execution.

pub fn population_size(self, new_pop_size: usize) -> Self

Sets the population size.

pub fn population(self, new_pop: Vec<(Box<Ind>, Option<Fitness>)>) -> Self

Sets the initial population individuals. If lower individuals than population_size are received, the rest of population will be generated randomly.

pub fn genotype_size(self, new_size: Ind::ProblemSize) -> Self

Sets the genotype size.

pub fn mutation_rate(self, new_mut: Box<dyn MutationRate>) -> Self

Sets the mutation rate.

pub fn selection_rate(self, new_sel_rate: Box<dyn SelectionRate>) -> Self

Sets the number of tournament stages whose individuals are selected for crossover.

pub fn select_function(self, new_sel: Box<dyn Selection>) -> Self

Sets the selection function of the genetic algorithm.

pub fn age_function(self, new_age: Box<dyn Age>) -> Self

Sets the age function of the genetic algorithm.

pub fn crossover_function(self, new_cross: Box<dyn Crossover<T, Ind>>) -> Self

Sets the crossover function of the genetic algorithm.

pub fn survival_pressure_function(
    self,
    new_surv: Box<dyn SurvivalPressure<T, Ind>>
) -> Self

Sets the survival pressure function of the genetic algorithm.

pub fn stop_criterion(self, new_crit: Box<dyn StopCriterion>) -> Self

Sets the stop criterion of the genetic algorithm.

pub fn cache_fitness(self, new_cache: bool) -> Self

Sets the cache fitness flag.

pub fn progress_log(self, generations: u64, log_file: File) -> Self

Sets the progress log.

pub fn population_log(self, generations: u64, log_file: File) -> Self

Sets the progress log.

pub fn run(self) -> (Vec<Box<Ind>>, u64, f64, Vec<(Box<Ind>, Option<Fitness>)>)

Run the genetic algorithm executiion until the stop_criterion is satisfied.

Returns

• A vector with the individuals of the population that are solution of the problem.
• The number of generations run.
• The average progress in the last generations.
• The entire population in the last generation (useful for resuming the execution).

Trait Implementations

impl<T, Ind: Genotype<T>> Default for GeneticExecution<T, Ind>

fn default() -> Self

Returns the “default value” for a type.