ultra::de_es< E > Class Template Reference

#include <evolution_strategy.h>

Inheritance diagram for ultra::de_es< E >:

Public Member Functions
	de_es (const problem &, E &)
template<Population P>
P *	refinement_subgroup (P &) const noexcept=delete
template<SizedRandomAccessPopulation P>
auto	operations (P &, const evolution_status< individual_t, fitness_t > &) const
template<LayeredPopulation P>
auto	operations (P &, typename P::layer_iter, const evolution_status< individual_t, fitness_t > &) const
template<SizedRandomAccessPopulation P>
auto	operations (P &pop, const evolution_status< individual_t, fitness_t > &starting_status) const
template<LayeredPopulation P>
auto	operations (P &pop, typename P::layer_iter iter, const evolution_status< individual_t, fitness_t > &starting_status) const
Public Member Functions inherited from ultra::evolution_strategy< E >
template<Population P>
void	init (P &) const
template<Population P>
P *	refinement_subgroup (P &) const noexcept
template<Population P>
void	after_generation (P &, const summary< individual_t, fitness_t > &)
const problem &	get_problem () const noexcept
template<Population P>
std::size_t	max_parallelism (const P &) const noexcept
template<LayeredPopulation P>
bool	valid_layer (P &pop, typename P::layer_iter iter)
template<Population P>
P *	refinement_subgroup (P &pop) const noexcept
template<Population P>
std::size_t	max_parallelism (const P &pop) const noexcept
template<Population P>
void	after_generation (P &pop, const summary< individual_t, fitness_t > &sum)

Additional Inherited Members
Public Types inherited from ultra::evolution_strategy< E >
using	evaluator_type = E
using	fitness_t = evaluator_fitness_t<E>
using	individual_t = evaluator_individual_t<E>
Static Public Member Functions inherited from ultra::evolution_strategy< E >
static parameters	shape (const parameters &p)
Protected Member Functions inherited from ultra::evolution_strategy< E >
	evolution_strategy (const problem &, E &)
Static Protected Member Functions inherited from ultra::evolution_strategy< E >
template<LayeredPopulation P>
static bool	valid_layer (P &, typename P::layer_iter)
Protected Attributes inherited from ultra::evolution_strategy< E >
E &	eva_
const problem &	prob_

Detailed Description

template<Evaluator E>
class ultra::de_es< E >

Differential evolution strategy.

Implemented as described in https://github.com/morinim/ultra/wiki/bibliography#5.

Member Function Documentation

operations() [1/4]

template<Evaluator E>

template<SizedRandomAccessPopulation P>

auto ultra::de_es< E >::operations ( P & pop, const evolution_status< individual_t, fitness_t > & starting_status ) const

nodiscard

Assembles a differential evolution step.

Template Parameters

P	population type

Parameters

[in]	pop	the population
[in]	starting_status	evolutionary status snapshot

Returns

a callable performing one DE step

Implements differential evolution:

• selection produces both parents and a target individual;
• recombination generates a trial vector;
• replacement compares the trial against the target.

operations() [2/4]

template<Evaluator E>

template<LayeredPopulation P>

auto ultra::de_es< E >::operations ( P & pop, typename P::layer_iter iter, const evolution_status< individual_t, fitness_t > & starting_status ) const

nodiscard

Assembles a differential evolution step for a layered population.

Template Parameters

P	population type

Parameters

[in]	pop	the population
[in]	iter	iterator to the active layer
[in]	starting_status	evolutionary status snapshot

Returns

a callable performing one DE step

See also

operations() for linear populations.

Note

Replacement is performed on the selected target only.

operations() [3/4]

template<Evaluator E>

template<SizedRandomAccessPopulation P>

auto ultra::de_es< E >::operations	(	P &	pop,
		const evolution_status< individual_t, fitness_t > &	starting_status ) const

Assembles a differential evolution step.

Template Parameters

P	population type

Parameters

[in]	pop	the population
[in]	starting_status	evolutionary status snapshot

Returns

a callable performing one DE step

Implements differential evolution:

• selection produces both parents and a target individual;
• recombination generates a trial vector;
• replacement compares the trial against the target.

operations() [4/4]

template<Evaluator E>

template<LayeredPopulation P>

auto ultra::de_es< E >::operations	(	P &	pop,
		typename P::layer_iter	iter,
		const evolution_status< individual_t, fitness_t > &	starting_status ) const

Assembles a differential evolution step for a layered population.

Template Parameters

P	population type

Parameters

[in]	pop	the population
[in]	iter	iterator to the active layer
[in]	starting_status	evolutionary status snapshot

Returns

a callable performing one DE step

See also

operations() for linear populations.

Note

Replacement is performed on the selected target only.

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

• evolution_strategy.h
• evolution_strategy.tcc