Struct genetic_algorithm::strategy::hill_climb::HillClimbState

pub struct HillClimbState<G: IncrementalGenotype> {
    pub current_iteration: usize,
    pub current_generation: usize,
    pub stale_generations: usize,
    pub best_generation: usize,
    pub best_chromosome: Chromosome<G>,
    pub durations: HashMap<StrategyAction, Duration>,
    pub current_scale_index: Option<usize>,
    pub max_scale_index: usize,
    pub chromosome: Chromosome<G>,
    pub population: Population<G>,
}

Stores the state of the HillClimb strategy. Next to the expected general fields, the following strategy specific fields are added:

• current_scale_index: current index of IncrementalGenotype’s allele_mutation_scaled_range
• max_scale_index: max index of IncrementalGenotype’s allele_mutation_scaled_range
• contending_chromosome: available for all variants
• neighbouring_population: only available for SteepestAscent variants

Fields

current_iteration: usize

current_generation: usize

stale_generations: usize

best_generation: usize

best_chromosome: Chromosome<G>

durations: HashMap<StrategyAction, Duration>

current_scale_index: Option<usize>

max_scale_index: usize

chromosome: Chromosome<G>

population: Population<G>

Implementations

impl<G: IncrementalGenotype> HillClimbState<G>

pub fn new(genotype: &G) -> Self

Trait Implementations

impl<G: IncrementalGenotype> Display for HillClimbState<G>

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

Formats the value using the given formatter.

impl<G: IncrementalGenotype> StrategyState<G> for HillClimbState<G>

fn chromosome_as_ref(&self) -> &Chromosome<G>

fn chromosome_as_mut(&mut self) -> &mut Chromosome<G>

fn population_as_ref(&self) -> &Population<G>

fn population_as_mut(&mut self) -> &mut Population<G>

fn best_chromosome_as_ref(&self) -> &Chromosome<G>

fn best_generation(&self) -> usize

fn current_generation(&self) -> usize

fn current_iteration(&self) -> usize

fn stale_generations(&self) -> usize

fn increment_stale_generations(&mut self)

fn reset_stale_generations(&mut self)

fn store_best_chromosome(&mut self, improved_fitness: bool) -> (bool, bool)

fn add_duration(&mut self, action: StrategyAction, duration: Duration)

fn total_duration(&self) -> Duration

fn best_fitness_score(&self) -> Option<FitnessValue>

fn close_duration(&mut self, total_duration: Duration)

fn update_best_chromosome( &mut self, fitness_ordering: &FitnessOrdering, replace_on_equal_fitness: bool, ) -> (bool, bool)