Struct DefaultInteractiveFitness 

pub struct DefaultInteractiveFitness<G>
where
    G: EvolutionaryGenome,
{ /* private fields */ }

Default interactive fitness implementation using a fixed evaluation mode

This provides a simple implementation that delegates all processing to the fitness aggregator. Suitable for most use cases.

Implementations

impl<G> DefaultInteractiveFitness<G>

where G: EvolutionaryGenome,

pub fn new(mode: EvaluationMode) -> Self

Create a new default interactive fitness with the given mode

pub fn with_batch_size(self, size: usize) -> Self

Set the batch size for batch selection mode

pub fn with_select_count(self, count: usize) -> Self

Set how many candidates to select in batch selection mode

Trait Implementations

impl<G> Clone for DefaultInteractiveFitness<G>

where G: EvolutionaryGenome + Clone,

fn clone(&self) -> DefaultInteractiveFitness<G>

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl<G> Debug for DefaultInteractiveFitness<G>

where G: EvolutionaryGenome + Debug,

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

Formats the value using the given formatter.

impl<G> Default for DefaultInteractiveFitness<G>

where G: EvolutionaryGenome,

fn default() -> Self

Returns the “default value” for a type.

impl<G> InteractiveFitness for DefaultInteractiveFitness<G>

where G: EvolutionaryGenome + Clone + Send + Sync,

type Genome = G

The genome type being evaluated

fn evaluation_mode(&self) -> EvaluationMode

Get the preferred evaluation mode for this fitness function

fn request_evaluation( &self, candidates: &[Candidate<Self::Genome>], ) -> EvaluationRequest<Self::Genome>

Generate an evaluation request for the given candidates

fn process_response( &mut self, response: EvaluationResponse, aggregator: &mut FitnessAggregator, ) -> Vec<(CandidateId, f64)>

Process user response and update fitness estimates

fn on_generation_start(&mut self, _generation: usize, _population_size: usize)

Optional: Called at the start of each generation

fn on_evaluation_skipped(&mut self)

Optional: Called when an evaluation is skipped