Struct NSGAIIParameters 

pub struct NSGAIIParameters<C, M, Sel>
where
    C: CrossoverOperator<f64, ParetoCrowdingDistanceQuality>,
    M: MutationOperator<f64, ParetoCrowdingDistanceQuality>,
    Sel: SelectionOperator<f64, ParetoCrowdingDistanceQuality>,
{
    pub population_size: usize,
    pub crossover_probability: f64,
    pub mutation_probability: f64,
    pub crossover_operator: C,
    pub mutation_operator: M,
    pub selection_operator: Sel,
    pub num_threads: Option<usize>,
    pub random_seed: Option<u64>,
    pub termination_criteria: TerminationCriteria,
}

Fields

population_size: usize

crossover_probability: f64

mutation_probability: f64

crossover_operator: C

mutation_operator: M

selection_operator: Sel

num_threads: Option<usize>

random_seed: Option<u64>

termination_criteria: TerminationCriteria

Implementations

impl<C, M, Sel> NSGAIIParameters<C, M, Sel>

where C: CrossoverOperator<f64, ParetoCrowdingDistanceQuality>, M: MutationOperator<f64, ParetoCrowdingDistanceQuality>, Sel: SelectionOperator<f64, ParetoCrowdingDistanceQuality>,

pub fn new( population_size: usize, crossover_probability: f64, mutation_probability: f64, crossover_operator: C, mutation_operator: M, selection_operator: Sel, termination_criteria: TerminationCriteria, ) -> Self

Examples found in repository

examples/zdt1_nsga2_demo.rs (lines 19-27)

fn main() {
    let seed = seed_from_cli_or(42);

    let problem = ZDT1Problem::new(30);

    let parameters = NSGAIIParameters::new(
        60,
        0.9,
        1.0 / 30.0,
        SBXCrossover::new_default(),
        PolynomialMutation::new_default(),
        MultiObjectiveTournamentSelection::new(),
        TerminationCriteria::new(vec![TerminationCriterion::MaxIterations(40)]),
    )
    .with_seed(seed);

    let mut algorithm = NSGAII::new(parameters);
    let observer = ConsoleObserver::new(true);
    let observer2 = ChartObserver::new_default();
    algorithm.add_observer(Box::new(observer));
    algorithm.add_observer(Box::new(observer2));
    let result = algorithm
        .run(&problem)
        .expect("NSGA-II run failed");

    if let Some(best) = result.get(0) {
        println!(
            "NSGA-II finished (seed={}). population={}, best objectives={:?}",
            seed,
            result.size(),
            best.objectives()
        );
    } else {
        println!("NSGA-II finished with empty population (seed={})", seed);
    }
}

pub fn with_threads(self, num_threads: usize) -> Self

pub fn with_parallel(self) -> Self

pub fn sequential(self) -> Self

pub fn with_seed(self, seed: u64) -> Self

Examples found in repository

examples/zdt1_nsga2_demo.rs (line 28)

fn main() {
    let seed = seed_from_cli_or(42);

    let problem = ZDT1Problem::new(30);

    let parameters = NSGAIIParameters::new(
        60,
        0.9,
        1.0 / 30.0,
        SBXCrossover::new_default(),
        PolynomialMutation::new_default(),
        MultiObjectiveTournamentSelection::new(),
        TerminationCriteria::new(vec![TerminationCriterion::MaxIterations(40)]),
    )
    .with_seed(seed);

    let mut algorithm = NSGAII::new(parameters);
    let observer = ConsoleObserver::new(true);
    let observer2 = ChartObserver::new_default();
    algorithm.add_observer(Box::new(observer));
    algorithm.add_observer(Box::new(observer2));
    let result = algorithm
        .run(&problem)
        .expect("NSGA-II run failed");

    if let Some(best) = result.get(0) {
        println!(
            "NSGA-II finished (seed={}). population={}, best objectives={:?}",
            seed,
            result.size(),
            best.objectives()
        );
    } else {
        println!("NSGA-II finished with empty population (seed={})", seed);
    }
}