Struct maver::Genetic

pub struct Genetic { /* fields omitted */ }

Methods

impl Genetic

pub fn new(
    population_size: usize,
    network_init: &[usize],
    act_in: Activation,
    act_out: Activation
) -> Genetic

Create new genetic algorithm implementation population_size: count of organisms in one generation network_init: network topology act_in:: activation function for hidden perceptrons act_out: activation function for output perceptrons

pub fn advanced_evaluation(&mut self, fun: impl FnMut(&mut [Organism]))

Advanced evaluation function:

let mut g = Genetic::new(...);
g.advanced_evaluation(|organisms: &mut [Organism]| {
    // write code there
});

pub fn evaluate(&mut self, env: &mut dyn Environment)

Evaluate current population in env. This code will evaluate organisms in parallel,if you want to evaluate without parallelism use advanced_evaluation function

pub fn get_champion(&self) -> &Organism

Get organism with best fitness in current population

pub fn fittest(&self) -> [usize; 2]

Returns indexes of fittest organisms

pub fn evolve(&mut self, learn_params: &LearnParams)

Create offspring by mutation and mating.