radiate-selectors 1.3.0

Selection strategies for the Radiate genetic algorithm library.
Documentation 
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use crate::ProbabilityWheelIterator;
use radiate_core::{Chromosome, Objective, Phenotype, Select};

// In rank selection, the selection probability does not depend directly on the fitness, but on
// the fitness rank of an individual within the population. This puts large fitness differences
// into perspective; moreover, the exact fitness values themselves do not have to be available,
// but only a sorting of the individuals according to quality.
#[derive(Debug, Default)]
pub struct RankSelector;

impl RankSelector {
    pub fn new() -> Self {
        RankSelector
    }
}

impl<C: Chromosome> Select<C> for RankSelector {
    fn select(&self, population: &[Phenotype<C>], _: &Objective, count: usize) -> Vec<usize> {
        let n = population.len();
        if n == 0 || count == 0 {
            return Vec::new();
        }

        let rank_sum = (1..=n).map(|i| i as f32).sum::<f32>();
        let mut probabilities = Vec::with_capacity(n);
        for i in 0..n {
            probabilities.push((n as f32 - i as f32) / rank_sum);
        }

        ProbabilityWheelIterator::new(probabilities, count).collect()
    }
}