Struct AdaptiveOperatorSelection 

pub struct AdaptiveOperatorSelection {
    pub num_operators: usize,
    pub weights: Vec<f64>,
    pub learning_rate: f64,
    pub min_probability: f64,
    pub decay: f64,
}

Adaptive operator selection using fitness-based credit assignment

Tracks performance of multiple operators and adjusts selection probabilities based on the fitness improvements they produce.

Fields

num_operators: usize

Number of operators

weights: Vec<f64>

Selection weights for each operator

learning_rate: f64

Learning rate for weight updates

min_probability: f64

Minimum probability for any operator

decay: f64

Decay factor for old rewards

Implementations

impl AdaptiveOperatorSelection

pub fn new(num_operators: usize) -> Self

Create a new adaptive operator selection with uniform initial weights

pub fn with_learning_rate(self, rate: f64) -> Self

Set learning rate

pub fn with_min_probability(self, prob: f64) -> Self

Set minimum probability

pub fn with_decay(self, decay: f64) -> Self

Set decay factor

pub fn select<R: Rng>(&self, rng: &mut R) -> usize

Select an operator index

pub fn update(&mut self, operator_idx: usize, fitness_improvement: f64)

Update weights based on fitness improvement from an operator

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

Get current selection probabilities

pub fn reset(&mut self)

Reset weights to uniform

Trait Implementations

impl Clone for AdaptiveOperatorSelection

fn clone(&self) -> AdaptiveOperatorSelection

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for AdaptiveOperatorSelection

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

Formats the value using the given formatter.