Struct SimulatedBinaryCrossover 

pub struct SimulatedBinaryCrossover {
    pub distribution_index: f64,
}

Simulated Binary Crossover (SBX) operator for real-coded genetic algorithms.

SBX Overview

• SBX mimics the behavior of single-point crossover in binary-coded GAs, but for continuous variables.
• The parameter distribution_index (η) controls how far offspring can deviate from the parents. Larger η values produce offspring closer to the parents (less exploration), while smaller values allow offspring to be more spread out (more exploration).

Reference: Deb, Kalyanmoy, and R. B. Agrawal. “Simulated binary crossover for continuous search space.” Complex systems 9.2 (1995): 115-148.

Fields

distribution_index: f64

Distribution index (η) that controls offspring spread.

Implementations

impl SimulatedBinaryCrossover

pub fn new(distribution_index: f64) -> Self

Creates a new SimulatedBinaryCrossover operator with the given distribution index

Trait Implementations

impl Clone for SimulatedBinaryCrossover

fn clone(&self) -> SimulatedBinaryCrossover

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl CrossoverOperator for SimulatedBinaryCrossover

fn crossover( &self, parent_a: &Array1<f64>, parent_b: &Array1<f64>, rng: &mut impl RandomGenerator, ) -> (Array1<f64>, Array1<f64>)

Performs crossover between two parents to produce two offspring.

fn n_offsprings_per_crossover(&self) -> usize

fn operate( &self, parents_a: &Array2<f64>, parents_b: &Array2<f64>, crossover_rate: f64, rng: &mut impl RandomGenerator, ) -> Array2<f64>

Applies the crossover operator to the population. Takes two parent populations and returns two offspring populations. Includes a crossover_rate to determine which pairs undergo crossover.

impl Debug for SimulatedBinaryCrossover

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

Formats the value using the given formatter.