Struct ParticleSwarm 

pub struct ParticleSwarm<B: Backend> { /* private fields */ }

Particle Swarm Optimization strategy.

Example

use burn::backend::Flex;
use rlevo_evolution::algorithms::metaheuristic::pso::{ParticleSwarm, PsoConfig};

let strategy = ParticleSwarm::<Flex>::new();
let params = PsoConfig::default_for(32, 10);
let _ = (strategy, params);

Implementations

impl<B: Backend> ParticleSwarm<B>

pub fn new() -> Self

Builds a new (stateless) strategy object.

Trait Implementations

impl<B: Clone + Backend> Clone for ParticleSwarm<B>

fn clone(&self) -> ParticleSwarm<B>

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl<B: Copy + Backend> Copy for ParticleSwarm<B>

impl<B: Debug + Backend> Debug for ParticleSwarm<B>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<B: Default + Backend> Default for ParticleSwarm<B>

fn default() -> ParticleSwarm<B>

Returns the “default value” for a type.

impl<B: Backend> Strategy<B> for ParticleSwarm<B>

where B::Device: Clone,

type Params = PsoConfig

Static parameters for a run.

type State = PsoState<B>

Generation-to-generation state.

type Genome = Tensor<B, 2>

Genome container produced by ask.

fn init( &self, params: &PsoConfig, rng: &mut dyn Rng, device: &<B as BackendTypes>::Device, ) -> PsoState<B>

Build the initial state.

fn ask( &self, params: &PsoConfig, state: &PsoState<B>, rng: &mut dyn Rng, device: &<B as BackendTypes>::Device, ) -> (Tensor<B, 2>, PsoState<B>)

Propose the next population.

fn tell( &self, params: &PsoConfig, population: Tensor<B, 2>, fitness: Tensor<B, 1>, state: PsoState<B>, _rng: &mut dyn Rng, ) -> (PsoState<B>, StrategyMetrics)

Consume fitness values and produce the next state.

fn best(&self, state: &PsoState<B>) -> Option<(Tensor<B, 2>, f32)>

Best-so-far accessor.