Struct optlib::genetic::GeneticOptimizer

pub struct GeneticOptimizer<T: Clone> { /* fields omitted */ }

The main struct for an user. GeneticOptimizer implements Optimizer trait and keep all parts of genetic algorithm as trait objects: Creator, Pairing, Cross, Mutation, Selection, StopChecker and, if needed, Logger. The trait run genetic algorithm.

T - type of a point in the search space for goal function (chromosomes).

Methods

impl<T: Clone> GeneticOptimizer<T>

pub fn new(
    goal: Box<dyn Goal<T>>,
    stop_checker: Box<dyn StopChecker<T>>,
    creator: Box<dyn Creator<T>>,
    pairing: Box<dyn Pairing<T>>,
    cross: Box<dyn Cross<T>>,
    mutation: Box<dyn Mutation<T>>,
    selections: Vec<Box<dyn Selection<T>>>,
    pre_births: Vec<Box<dyn PreBirth<T>>>,
    loggers: Vec<Box<dyn Logger<T>>>
) -> GeneticOptimizer<T>

Create a new GeneticOptimizer.

pub fn replace_pairing(&mut self, pairing: Box<dyn Pairing<T>>)

Replace the trait object of pairing algorithm.

pub fn replace_cross(&mut self, cross: Box<dyn Cross<T>>)

Replace the trait object of cross algorithm.

pub fn replace_mutation(&mut self, mutation: Box<dyn Mutation<T>>)

Replace the trait object of mutation algorithm.

pub fn replace_selection(&mut self, selections: Vec<Box<dyn Selection<T>>>)

Replace the trait object of selection algorithm.

pub fn replace_pre_birth(&mut self, pre_births: Vec<Box<dyn PreBirth<T>>>)

Replace the trait object of selection algorithm.

pub fn replace_stop_checker(&mut self, stop_checker: Box<dyn StopChecker<T>>)

Replace the trait object of stop checker algorithm.

pub fn next_iterations(&mut self) -> Option<(&T, f64)>

Do new iterations of genetic algorithm.

Trait Implementations

impl<T: Clone> Optimizer<T> for GeneticOptimizer<T>

fn find_min(&mut self) -> Option<(&T, f64)>

Run genetic algorithm

impl<T: Clone> AlgorithmWithAgents<T> for GeneticOptimizer<T>

type Agent = Individual<T>

fn get_agents(&self) -> Vec<&Self::Agent>

Returns vector with references to all agents