Inheritance diagram for Best2:

Public Member Functions
std::vector< double >	mutate (const std::vector< std::vector< double > > &population, size_t targetIndex, double F, const std::vector< double > &bestVector, MersenneTwister &mt, double lowerBound, double upperBound) override
	Generates a mutant vector using DE/best/2 strategy.
Public Member Functions inherited from Mutation
virtual	~Mutation ()=default
	Virtual destructor for safe polymorphic deletion.

Additional Inherited Members
Protected Member Functions inherited from Mutation
std::vector< size_t >	getSubset (size_t populationSize, size_t subsetSize, size_t source, MersenneTwister &mt)
	Selects a random subset of population indices, excluding a source index.

Member Function Documentation

◆ mutate()

std::vector< double > Best2::mutate	(	const std::vector< std::vector< double > > &	population,
		size_t	targetIndex,
		double	F,
		const std::vector< double > &	bestVector,
		MersenneTwister &	mt,
		double	lowerBound,
		double	upperBound )

inlineoverridevirtual

Generates a mutant vector using DE/best/2 strategy.

Applies the formula: mutant = best + F * (r1 - r2) + F * (r3 - r4) where r1, r2, r3, r4 are four randomly selected distinct individuals.

Parameters

[in]	population	Current population of solutions
[in]	targetIndex	Index of the target individual (excluded from selection)
[in]	F	Differential weight; typical range 0.5-1.0
[in]	bestVector	The best solution found so far (used as base)
[in,out]	mt	Random number generator for selection
[in]	lowerBound	Lower domain bound
[in]	upperBound	Upper domain bound

Implements Mutation.

The documentation for this class was generated from the following file:

src/opti_py/cpp/include/opti_py/Optimizer/DifferentialEvolution/Mutation/Best2.h