genetic_algorithm 0.27.1

A genetic algorithm implementation
Documentation 
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use criterion::*;
use genetic_algorithm::chromosome::Chromosome;
use genetic_algorithm::genotype::*;
use genetic_algorithm::population::Population;
use rand::prelude::*;
use rand::rngs::SmallRng;
//use std::time::Duration;

pub fn criterion_benchmark(c: &mut Criterion) {
    let mut group = c.benchmark_group("neighbouring_population");
    let plot_config = PlotConfiguration::default().summary_scale(AxisScale::Logarithmic);
    group.plot_config(plot_config);

    let mut rng1 = SmallRng::from_entropy();
    let mut rng2 = SmallRng::from_entropy();

    group.bench_function("range-neighbouring_population-relative", |b| {
        let genotype = RangeGenotype::builder()
            .with_genes_size(10)
            .with_allele_range(-1.0..=1.0)
            .with_mutation_type(MutationType::Range(0.1))
            .build()
            .unwrap();

        b.iter_batched(
            || {
                (
                    Chromosome::new(genotype.random_genes_factory(&mut rng1)),
                    genotype.clone(),
                    Population::new(vec![], true),
                )
            },
            |(c, g, mut p)| g.fill_neighbouring_population(&c, &mut p, &mut rng2),
            BatchSize::SmallInput,
        );
    });

    group.bench_function("range-neighbouring_population-scaled", |b| {
        let mut genotype = RangeGenotype::builder()
            .with_genes_size(10)
            .with_allele_range(-1.0..=1.0)
            .with_mutation_type(MutationType::StepScaled(vec![0.1, 0.01, 0.001]))
            .build()
            .unwrap();
        genotype.increment_scale_index();

        b.iter_batched(
            || {
                (
                    Chromosome::new(genotype.random_genes_factory(&mut rng1)),
                    genotype.clone(),
                    Population::new(vec![], true),
                )
            },
            |(c, g, mut p)| g.fill_neighbouring_population(&c, &mut p, &mut rng2),
            BatchSize::SmallInput,
        );
    });
}

criterion_group!(benches, criterion_benchmark);
criterion_main!(benches);