mutation.hpp File Reference

Genetic-algorithm mutation operators: bit-flip (generic boolean genotypes) and Gaussian, polynomial (real-valued genotypes). More...

#include <algorithm>
#include <cmath>
#include <random>
#include <stdexcept>
#include <vector>

Include dependency graph for mutation.hpp:

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Namespaces
namespace	pulsatrix

Functions
std::vector< bool >	pulsatrix::BitFlipMutationByMask (const std::vector< bool > &genotype, const std::vector< bool > &flip_mask)
	Flips each gene where flip_mask is true, leaves the rest unchanged.
template<typename RNG >
std::vector< bool >	pulsatrix::BitFlipMutation (const std::vector< bool > &genotype, double mutation_probability, RNG &rng)
	RNG-driven wrapper: each gene flips independently with probability mutation_probability.
std::vector< double >	pulsatrix::GaussianMutationByNoise (const std::vector< double > &genotype, const std::vector< double > &noise, const std::vector< bool > &apply_mask)
	Adds noise[i] to genotype[i] wherever apply_mask[i] is true, leaves the rest unchanged.
template<typename RNG >
std::vector< double >	pulsatrix::GaussianMutation (const std::vector< double > &genotype, double sigma, double mutation_probability, RNG &rng)
	RNG-driven wrapper: each gene independently receives N(0, sigma^2) noise with probability mutation_probability.
double	pulsatrix::PolynomialMutationByDraw (double x, double lower, double upper, double eta, double u)
	Polynomial-mutates a single bounded gene given an explicit draw.
template<typename RNG >
std::vector< double >	pulsatrix::PolynomialMutation (const std::vector< double > &genotype, const std::vector< double > &lower_bounds, const std::vector< double > &upper_bounds, double eta, double mutation_probability, RNG &rng)
	RNG-driven wrapper: each gene independently mutates (via PolynomialMutationByDraw) with probability mutation_probability.

Detailed Description

Genetic-algorithm mutation operators: bit-flip (generic boolean genotypes) and Gaussian, polynomial (real-valued genotypes).

Note

Same pure-core/RNG-wrapper split as selection.hpp and crossover.hpp: every stochastic operator's pure core takes an explicit mask/noise/draw, making its correctness hand-derivable independent of any particular RNG's output stream.