Trait Algorithm

pub trait Algorithm {
    type Output: Clone + Debug + PartialEq;
    type Error: Error + Clone + Debug + PartialEq;

    // Required methods
    fn next(
        &mut self,
        iteration: u64,
        rng: &mut Prng,
    ) -> Result<Self::Output, Self::Error>;
    fn reset(&mut self) -> Result<bool, Self::Error>;
}

An Algorithm defines the steps to be processed in a simulation::Simulation. The Simulation uses an implementation of an Algorithm to perform one iteration of the evaluation stage.

Required Associated Types

type Output: Clone + Debug + PartialEq

type Error: Error + Clone + Debug + PartialEq

Required Methods

fn next( &mut self, iteration: u64, rng: &mut Prng, ) -> Result<Self::Output, Self::Error>

fn reset(&mut self) -> Result<bool, Self::Error>

Implementors

impl<G, F, E, S, C, M, R> Algorithm for GeneticAlgorithm<G, F, E, S, C, M, R>

where G: Genotype, F: Fitness + Send + Sync, E: FitnessFunction<G, F> + Sync, S: SelectionOp<G, F>, C: CrossoverOp<G> + Sync, M: MutationOp<G> + Sync, R: ReinsertionOp<G, F>,

type Output = State<G, F>

type Error = GeneticAlgorithmError