Struct CmaEs 

pub struct CmaEs<F> {
    pub state: CmaEsState,
    pub bounds: Option<MultiBounds>,
    /* private fields */
}

CMA-ES optimizer

Fields

state: CmaEsState

State of the optimizer

bounds: Option<MultiBounds>

Problem bounds

Implementations

impl<F: CmaEsFitness> CmaEs<F>

pub fn new(initial_mean: Vec<f64>, initial_sigma: f64) -> Self

Create a new CMA-ES optimizer

pub fn with_lambda( initial_mean: Vec<f64>, initial_sigma: f64, lambda: usize, ) -> Self

Create with custom population size

pub fn with_bounds(self, bounds: MultiBounds) -> Self

Set problem bounds

pub fn step<R: Rng>( &mut self, fitness: &F, rng: &mut R, ) -> EvoResult<Vec<Individual<RealVector>>>

Run a single generation

pub fn run_generations<R: Rng>( &mut self, fitness: &F, max_generations: usize, rng: &mut R, ) -> EvoResult<Individual<RealVector>>

Run the optimizer for a fixed number of generations

pub fn run_until<R: Rng>( &mut self, fitness: &F, target_fitness: f64, max_generations: usize, rng: &mut R, ) -> EvoResult<Individual<RealVector>>

Run the optimizer until a target fitness is reached or max generations

pub fn generation(&self) -> usize

Get the current generation

pub fn evaluations(&self) -> usize

Get total evaluations

pub fn mean(&self) -> &[f64]

Get current mean

pub fn sigma(&self) -> f64

Get current sigma

pub fn best_solution(&self) -> &[f64]

Get the best solution found

pub fn best_fitness(&self) -> f64

Get the best fitness found

Trait Implementations

impl<F: Clone> Clone for CmaEs<F>

fn clone(&self) -> CmaEs<F>

Returns a duplicate of the value.

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

Performs copy-assignment from source.