Struct NkLandscape 

pub struct NkLandscape { /* private fields */ }

NK Landscape

A tunable fitness landscape with controllable epistasis (gene interactions).

• N is the genome length
• K is the number of other genes that affect each gene’s fitness contribution

Higher K = more rugged landscape with more local optima. K=0: smooth landscape (separable) K=N-1: maximally rugged (all genes interact)

The fitness is the average of local fitness contributions.

Implementations

impl NkLandscape

pub fn new(n: usize, k: usize, seed: u64) -> Self

Create a new NK Landscape with random fitness contributions

Arguments

• n - Genome length
• k - Epistasis degree (must be < n)
• seed - Random seed for reproducibility

pub fn with_adjacent_neighbors(n: usize, k: usize, seed: u64) -> Self

Create an NK Landscape with adjacent neighbors (each gene interacts with its k nearest neighbors)

pub fn genome_length(&self) -> usize

Get genome length (N)

pub fn epistasis(&self) -> usize

Get epistasis degree (K)

pub fn evaluate_bits(&self, bits: &[bool]) -> f64

Evaluate fitness for a bit string

Trait Implementations

impl Clone for NkLandscape

fn clone(&self) -> NkLandscape

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for NkLandscape

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

Formats the value using the given formatter.

impl Fitness for NkLandscape

type Genome = BitString

The genome type being evaluated

type Value = f64

The fitness value type

fn evaluate(&self, genome: &Self::Genome) -> f64

Evaluate fitness (higher = better by convention)

fn as_log_likelihood(&self, genome: &Self::Genome, temperature: f64) -> f64

Convert fitness to log-likelihood for probabilistic selection

fn gradient(&self, _genome: &Self::Genome) -> Option<Vec<f64>>

Optional: Provide gradient for gradient-assisted mutation