Struct revonet::settings::EASettings

pub struct EASettings {
    pub rng_seed: u32,
    pub pop_size: u32,
    pub param_count: u32,
    pub gen_count: u32,
    pub tour_size: u32,
    pub use_elite: bool,
    pub x_type: CrossoverOperator,
    pub x_prob: f32,
    pub x_alpha: f32,
    pub mut_type: MutationOperator,
    pub mut_prob: f32,
    pub mut_sigma: f32,
}

Settings for evolutionary algorithm.

Fields

rng_seed: u32

Seed for RNG.

pop_size: u32

Population size.

param_count: u32

Number of parameters/genes for the problem.

gen_count: u32

Number of generations.

tour_size: u32

tournament size for tournament selection.

use_elite: bool

Flag indicating whether elitism is to be used or not.

If true then the best individual in current generation is copied to the next generation.

x_type: CrossoverOperator

Type of the crossover.

x_prob: f32

Crossover probability.

x_alpha: f32

Crossover parameter.

mut_type: MutationOperator

Mutation probability.

mut_prob: f32

Mutation probability.

mut_sigma: f32

Mutation parameter.

Methods

impl EASettings

fn new(pop_size: u32, gen_count: u32, param_count: u32) -> EASettings

Create default settings using some parameters.

The default values are as follows: * tour_size = 3 * use_elite = true * x_type = CrossoverOperator::BlxAlpha * x_prob = 0.7f32 * x_alpha = 0.1f32 * mut_prob = 1f32 / param_count * mut_sigma = 0.1f32

Arguments:

• pop_size - population size.
• gen_count - number of generations.
• param_count - number of genes / problem parameters.

fn from_json(filename: &str) -> Self

fn to_json(&self, filename: &str)

Trait Implementations

impl Clone for EASettings

fn clone(&self) -> EASettings

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for EASettings

fn fmt(&self, __arg_0: &mut Formatter) -> Result

Formats the value using the given formatter.