Class to perform optimization using firefly algorithm [32], [33]. More...

#include <num_collect/opt/firefly_optimizer.h>

Inheritance diagram for num_collect::opt::firefly_optimizer< ObjectiveFunction >:

Collaboration diagram for num_collect::opt::firefly_optimizer< ObjectiveFunction >:

Public Types
using	objective_function_type = ObjectiveFunction
	Type of the objective function.

using	random_number_generator_type = std::mt19937
	Type of the random number generator.

using	this_type = firefly_optimizer<ObjectiveFunction>
	This class.

using	value_type = typename objective_function_type::value_type
	Type of function values.

using	variable_scalar_type = typename variable_type::Scalar
	Type of scalars in variables.

using	variable_type = typename objective_function_type::variable_type
	Type of variables.

Public Member Functions
	firefly_optimizer (const ObjectiveFunction &obj_fun=ObjectiveFunction())
	Construct.

auto	absorption_coeff (variable_scalar_type value) -> this_type &
	Set the light absorption coefficient.

auto	attractiveness_coeff (variable_scalar_type value) -> this_type &
	Set the coefficient of the attractiveness.

void	change_objective_function (const objective_function_type &obj_fun)
	Change the objective function.

void	configure_iteration_logger (logging::iterations::iteration_logger< firefly_optimizer< ObjectiveFunction > > &iteration_logger) const
	Configure an iteration logger.

auto	evaluations () const noexcept -> index_type
	Get the number of function evaluations.

void	init (const variable_type &lower, const variable_type &upper)
	Initialize the algorithm.

auto	is_stop_criteria_satisfied () const -> bool
	Determine if stopping criteria of the algorithm are satisfied.

void	iterate ()
	Iterate the algorithm once.

auto	iterations () const noexcept -> index_type
	Get the number of iterations.

auto	max_evaluations (index_type value) -> this_type &
	Set the maximum number of function evaluations.

auto	num_fireflies (index_type value) -> this_type &
	Set the number of fireflies.

auto	opt_value () const -> const value_type &
	Get current optimal value.

auto	opt_variable () const -> const variable_type &
	Get current optimal variable.

auto	random_coeff (variable_scalar_type value) -> this_type &
	Set the coefficient of the random walk.

auto	seed (random_number_generator_type::result_type value) -> this_type &
	Change the seed of the random number generator.

Public Member Functions inherited from num_collect::opt::optimizer_base< firefly_optimizer< ObjectiveFunction > >
	optimizer_base (logging::log_tag_view tag)
	Constructor.

auto	evaluations () const noexcept -> index_type
	Get the number of function evaluations.

auto	iterations () const noexcept -> index_type
	Get the number of iterations.

auto	opt_value () const
	Get current optimal value.

auto	opt_variable () const
	Get current optimal variable.

Public Member Functions inherited from num_collect::base::iterative_solver_base< firefly_optimizer< ObjectiveFunction > >
	iterative_solver_base (logging::log_tag_view tag)
	Constructor.

	iterative_solver_base (logging::log_tag_view tag)
	Constructor.

auto	is_stop_criteria_satisfied () const -> bool
	Determine if stopping criteria of the algorithm are satisfied.

auto	is_stop_criteria_satisfied () const -> bool
	Determine if stopping criteria of the algorithm are satisfied.

void	iterate ()
	Iterate the algorithm once.

void	iterate ()
	Iterate the algorithm once.

void	solve ()
	Solve the problem.

void	solve ()
	Solve the problem.

Public Member Functions inherited from num_collect::logging::logging_mixin
	logging_mixin (log_tag_view tag)
	Constructor.

template<typename Child>
void	configure_child_algorithm_logger_if_exists (Child &child)
	Configure a logger of a child algorithm if exists.

auto	logger () const noexcept -> const num_collect::logging::logger &
	Access to the logger.

auto	logger () noexcept -> num_collect::logging::logger &
	Access to the logger.

Public Member Functions inherited from num_collect::logging::iterations::iteration_logger_mixin< firefly_optimizer< ObjectiveFunction > >
	iteration_logger_mixin ()=default
	Constructor.

void	configure_iteration_logger (num_collect::logging::iterations::iteration_logger< firefly_optimizer< ObjectiveFunction > > &iteration_logger) const
	Configure an iteration logger.

auto	initialize_iteration_logger () -> num_collect::logging::iterations::iteration_logger< firefly_optimizer< ObjectiveFunction > > &
	Get the iteration logger.

Private Member Functions
auto	evaluate_on (const variable_type &variable) -> value_type
	Evaluate a function value.

Static Private Member Functions
static auto	correct_value_if_needed (value_type value) noexcept -> value_type
	Correct function values if needed.

Private Attributes
variable_scalar_type	absorption_coeff_ {default_absorption_coeff}
	Light absorption coefficient.

variable_scalar_type	attractiveness_coeff_ {default_attractiveness_coeff}
	Coefficient of the attractiveness.

index_type	dim_ {0}
	Number of dimension.

index_type	evaluations_ {0}
	Number of function evaluations.

std::uniform_real_distribution< variable_scalar_type >	initial_distribution_ {}
	Distribution for the initial variables. (Uniform distribution from 0 to 1.)

index_type	iterations_ {0}
	Number of iterations.

variable_type	lower_ {}
	Element-wise lower limit.

index_type	max_evaluations_ {default_max_evaluations}
	Maximum number of function evaluations.

index_type	num_fireflies_ {default_num_fireflies}
	Number of fireflies.

objective_function_type	obj_fun_
	Objective function.

value_type	opt_value_ {std::numeric_limits<value_type>::max()}
	Current optimal value.

variable_type	opt_variable_ {}
	Current optimal variable.

variable_scalar_type	random_coeff_ {default_random_coeff}
	Coefficient of the random walk.

random_number_generator_type	random_number_generator_
	Random number generator.

std::normal_distribution< variable_scalar_type >	random_walk_distribution_ {}
	Distribution for random walk. (Standard normal distribution.)

variable_type	upper_ {}
	Element-wise upper limit.

Eigen::VectorX< value_type >	values_
	Function values of the current variables.

util::vector< variable_type >	variable_changes_
	Buffer of variable changes.

util::vector< variable_type >	variables_
	Current variables. (Positions of fireflies.)

variable_type	width_ {}
	Element-wise width.

Static Private Attributes
static constexpr auto	default_absorption_coeff
	Default value of the light absorption coefficient.

static constexpr auto	default_attractiveness_coeff
	Default value of the coefficient of the attractiveness.

static constexpr index_type	default_max_evaluations = 10000
	Default maximum number of function evaluations.

static constexpr index_type	default_num_fireflies = 200
	Default value of the number of fireflies.

static constexpr auto	default_random_coeff
	Default value of the coefficient of the random walk.

Additional Inherited Members
Protected Member Functions inherited from num_collect::base::iterative_solver_base< firefly_optimizer< ObjectiveFunction > >
auto	derived () const noexcept -> const firefly_optimizer< ObjectiveFunction > &
	Access derived object.

auto	derived () const noexcept -> const firefly_optimizer< ObjectiveFunction > &
	Access derived object.

auto	derived () noexcept -> firefly_optimizer< ObjectiveFunction > &
	Access derived object.

auto	derived () noexcept -> firefly_optimizer< ObjectiveFunction > &
	Access derived object.

Detailed Description

template<concepts::multi_variate_objective_function ObjectiveFunction>
class num_collect::opt::firefly_optimizer< ObjectiveFunction >

Class to perform optimization using firefly algorithm [32], [33].

Template Parameters

ObjectiveFunction Type of the objective function.

Definition at line 63 of file firefly_optimizer.h.

Member Typedef Documentation

◆ objective_function_type

template<concepts::multi_variate_objective_function ObjectiveFunction>

using num_collect::opt::firefly_optimizer< ObjectiveFunction >::objective_function_type = ObjectiveFunction

Type of the objective function.

Definition at line 70 of file firefly_optimizer.h.

◆ random_number_generator_type

template<concepts::multi_variate_objective_function ObjectiveFunction>

using num_collect::opt::firefly_optimizer< ObjectiveFunction >::random_number_generator_type = std::mt19937

Type of the random number generator.

Definition at line 82 of file firefly_optimizer.h.

◆ this_type

template<concepts::multi_variate_objective_function ObjectiveFunction>

using num_collect::opt::firefly_optimizer< ObjectiveFunction >::this_type = firefly_optimizer<ObjectiveFunction>

This class.

Definition at line 67 of file firefly_optimizer.h.

◆ value_type

template<concepts::multi_variate_objective_function ObjectiveFunction>

using num_collect::opt::firefly_optimizer< ObjectiveFunction >::value_type = typename objective_function_type::value_type

Type of function values.

Definition at line 79 of file firefly_optimizer.h.

◆ variable_scalar_type

template<concepts::multi_variate_objective_function ObjectiveFunction>

using num_collect::opt::firefly_optimizer< ObjectiveFunction >::variable_scalar_type = typename variable_type::Scalar

Type of scalars in variables.

Definition at line 76 of file firefly_optimizer.h.

◆ variable_type

template<concepts::multi_variate_objective_function ObjectiveFunction>

using num_collect::opt::firefly_optimizer< ObjectiveFunction >::variable_type = typename objective_function_type::variable_type

Type of variables.

Definition at line 73 of file firefly_optimizer.h.

Constructor & Destructor Documentation

◆ firefly_optimizer()

template<concepts::multi_variate_objective_function ObjectiveFunction>

num_collect::opt::firefly_optimizer< ObjectiveFunction >::firefly_optimizer ( const ObjectiveFunction & obj_fun = ObjectiveFunction() )

inlineexplicit

Construct.

Parameters

[in] obj_fun Objective function.

Definition at line 89 of file firefly_optimizer.h.

Member Function Documentation

◆ absorption_coeff()

template<concepts::multi_variate_objective_function ObjectiveFunction>

auto num_collect::opt::firefly_optimizer< ObjectiveFunction >::absorption_coeff ( variable_scalar_type value ) -> this_type&

inline

Set the light absorption coefficient.

Note: This value is \(\gamma\) in [32].

Parameters

[in] value Value.

Returns: This object.

Definition at line 286 of file firefly_optimizer.h.

◆ attractiveness_coeff()

template<concepts::multi_variate_objective_function ObjectiveFunction>

auto num_collect::opt::firefly_optimizer< ObjectiveFunction >::attractiveness_coeff ( variable_scalar_type value ) -> this_type&

inline

Set the coefficient of the attractiveness.

Note: This value is \(\beta 0\) in [32].

Parameters

[in] value Value.

Returns: This object.

Definition at line 271 of file firefly_optimizer.h.

◆ change_objective_function()

template<concepts::multi_variate_objective_function ObjectiveFunction>

void num_collect::opt::firefly_optimizer< ObjectiveFunction >::change_objective_function ( const objective_function_type & obj_fun )

inline

Change the objective function.

Parameters

[in] obj_fun Objective function.

Definition at line 98 of file firefly_optimizer.h.

◆ configure_iteration_logger()

template<concepts::multi_variate_objective_function ObjectiveFunction>

void num_collect::opt::firefly_optimizer< ObjectiveFunction >::configure_iteration_logger ( logging::iterations::iteration_logger< firefly_optimizer< ObjectiveFunction > > & iteration_logger ) const

inline

Configure an iteration logger.

Parameters

[in] iteration_logger Iteration logger.

Definition at line 212 of file firefly_optimizer.h.

◆ correct_value_if_needed()

template<concepts::multi_variate_objective_function ObjectiveFunction>

static auto num_collect::opt::firefly_optimizer< ObjectiveFunction >::correct_value_if_needed ( value_type value ) -> value_type

inlinestaticnodiscardprivatenoexcept

Correct function values if needed.

Parameters

[in] value Function value.

Returns: Corrected value.

Definition at line 358 of file firefly_optimizer.h.

◆ evaluate_on()

template<concepts::multi_variate_objective_function ObjectiveFunction>

auto num_collect::opt::firefly_optimizer< ObjectiveFunction >::evaluate_on ( const variable_type & variable ) -> value_type

inlinenodiscardprivate

Evaluate a function value.

Parameters

[in] variable Variable.

Returns: Function value.

Definition at line 340 of file firefly_optimizer.h.

◆ evaluations()

template<concepts::multi_variate_objective_function ObjectiveFunction>

auto num_collect::opt::firefly_optimizer< ObjectiveFunction >::evaluations ( ) const -> index_type

inlinenodiscardnoexcept

Get the number of function evaluations.

Returns: Number of function evaluations.

Definition at line 246 of file firefly_optimizer.h.

◆ init()

template<concepts::multi_variate_objective_function ObjectiveFunction>

void num_collect::opt::firefly_optimizer< ObjectiveFunction >::init	(	const variable_type &	lower,
		const variable_type &	upper )

inline

Initialize the algorithm.

Parameters

[in]	lower	Lower limit.
[in]	upper	Upper limit.

Definition at line 108 of file firefly_optimizer.h.

◆ is_stop_criteria_satisfied()

template<concepts::multi_variate_objective_function ObjectiveFunction>

auto num_collect::opt::firefly_optimizer< ObjectiveFunction >::is_stop_criteria_satisfied ( ) const -> bool

inlinenodiscard

Determine if stopping criteria of the algorithm are satisfied.

Returns: If stopping criteria of the algorithm are satisfied.

Definition at line 205 of file firefly_optimizer.h.

◆ iterate()

template<concepts::multi_variate_objective_function ObjectiveFunction>

void num_collect::opt::firefly_optimizer< ObjectiveFunction >::iterate ( )

inline

Iterate the algorithm once.

Warning: Any required initializations (with init functions) are assumed to have been done.

Definition at line 143 of file firefly_optimizer.h.

◆ iterations()

template<concepts::multi_variate_objective_function ObjectiveFunction>

auto num_collect::opt::firefly_optimizer< ObjectiveFunction >::iterations ( ) const -> index_type

inlinenodiscardnoexcept

Get the number of iterations.

Returns: Number of iterations.

Definition at line 239 of file firefly_optimizer.h.

◆ max_evaluations()

template<concepts::multi_variate_objective_function ObjectiveFunction>

auto num_collect::opt::firefly_optimizer< ObjectiveFunction >::max_evaluations ( index_type value ) -> this_type&

inline

Set the maximum number of function evaluations.

Parameters

[in] value Value.

Returns: This object.

Definition at line 314 of file firefly_optimizer.h.

◆ num_fireflies()

template<concepts::multi_variate_objective_function ObjectiveFunction>

auto num_collect::opt::firefly_optimizer< ObjectiveFunction >::num_fireflies ( index_type value ) -> this_type&

inline

Set the number of fireflies.

Parameters

[in] value Value.

Returns: This object.

Definition at line 256 of file firefly_optimizer.h.

◆ opt_value()

template<concepts::multi_variate_objective_function ObjectiveFunction>

auto num_collect::opt::firefly_optimizer< ObjectiveFunction >::opt_value ( ) const -> const value_type&

inlinenodiscard

Get current optimal value.

Returns: Current optimal value.

Definition at line 232 of file firefly_optimizer.h.

◆ opt_variable()

template<concepts::multi_variate_objective_function ObjectiveFunction>

auto num_collect::opt::firefly_optimizer< ObjectiveFunction >::opt_variable ( ) const -> const variable_type&

inlinenodiscard

Get current optimal variable.

Returns: Current optimal variable.

Definition at line 225 of file firefly_optimizer.h.

◆ random_coeff()

template<concepts::multi_variate_objective_function ObjectiveFunction>

auto num_collect::opt::firefly_optimizer< ObjectiveFunction >::random_coeff ( variable_scalar_type value ) -> this_type&

inline

Set the coefficient of the random walk.

Note: This value is \(\alpha\) in [32].

Parameters

[in] value Value.

Returns: This object.

Definition at line 301 of file firefly_optimizer.h.

◆ seed()

template<concepts::multi_variate_objective_function ObjectiveFunction>

auto num_collect::opt::firefly_optimizer< ObjectiveFunction >::seed ( random_number_generator_type::result_type value ) -> this_type&

inline

Change the seed of the random number generator.

Parameters

[in] value Value.

Returns: This.

Definition at line 328 of file firefly_optimizer.h.

Member Data Documentation

◆ absorption_coeff_

template<concepts::multi_variate_objective_function ObjectiveFunction>

variable_scalar_type num_collect::opt::firefly_optimizer< ObjectiveFunction >::absorption_coeff_ {default_absorption_coeff}

private

Light absorption coefficient.

Note: This value is \(\gamma\) in [32].

Definition at line 408 of file firefly_optimizer.h.

◆ attractiveness_coeff_

template<concepts::multi_variate_objective_function ObjectiveFunction>

variable_scalar_type num_collect::opt::firefly_optimizer< ObjectiveFunction >::attractiveness_coeff_ {default_attractiveness_coeff}

private

Coefficient of the attractiveness.

Note: This value is \(\beta 0\) in [32].

Definition at line 397 of file firefly_optimizer.h.

◆ default_absorption_coeff

template<concepts::multi_variate_objective_function ObjectiveFunction>

auto num_collect::opt::firefly_optimizer< ObjectiveFunction >::default_absorption_coeff

staticconstexprprivate

Initial value:

=

static_cast<variable_scalar_type>(300)

num_collect::opt::firefly_optimizer< ObjectiveFunction >::variable_scalar_type

typename variable_type::Scalar variable_scalar_type

Type of scalars in variables.

Definition firefly_optimizer.h:76

Default value of the light absorption coefficient.

Definition at line 400 of file firefly_optimizer.h.

◆ default_attractiveness_coeff

template<concepts::multi_variate_objective_function ObjectiveFunction>

auto num_collect::opt::firefly_optimizer< ObjectiveFunction >::default_attractiveness_coeff

staticconstexprprivate

Initial value:

=

static_cast<variable_scalar_type>(1)

Default value of the coefficient of the attractiveness.

Definition at line 389 of file firefly_optimizer.h.

◆ default_max_evaluations

template<concepts::multi_variate_objective_function ObjectiveFunction>

index_type num_collect::opt::firefly_optimizer< ObjectiveFunction >::default_max_evaluations = 10000

staticconstexprprivate

Default maximum number of function evaluations.

Definition at line 454 of file firefly_optimizer.h.

◆ default_num_fireflies

template<concepts::multi_variate_objective_function ObjectiveFunction>

index_type num_collect::opt::firefly_optimizer< ObjectiveFunction >::default_num_fireflies = 200

staticconstexprprivate

Default value of the number of fireflies.

Definition at line 383 of file firefly_optimizer.h.

◆ default_random_coeff

template<concepts::multi_variate_objective_function ObjectiveFunction>

auto num_collect::opt::firefly_optimizer< ObjectiveFunction >::default_random_coeff

staticconstexprprivate

Initial value:

=

static_cast<variable_scalar_type>(0.1)

Default value of the coefficient of the random walk.

Definition at line 411 of file firefly_optimizer.h.

◆ dim_

template<concepts::multi_variate_objective_function ObjectiveFunction>

index_type num_collect::opt::firefly_optimizer< ObjectiveFunction >::dim_ {0}

private

Number of dimension.

Definition at line 380 of file firefly_optimizer.h.

◆ evaluations_

template<concepts::multi_variate_objective_function ObjectiveFunction>

index_type num_collect::opt::firefly_optimizer< ObjectiveFunction >::evaluations_ {0}

private

Number of function evaluations.

Definition at line 451 of file firefly_optimizer.h.

◆ initial_distribution_

template<concepts::multi_variate_objective_function ObjectiveFunction>

std::uniform_real_distribution<variable_scalar_type> num_collect::opt::firefly_optimizer< ObjectiveFunction >::initial_distribution_ {}

private

Distribution for the initial variables. (Uniform distribution from 0 to 1.)

Definition at line 436 of file firefly_optimizer.h.

◆ iterations_

template<concepts::multi_variate_objective_function ObjectiveFunction>

index_type num_collect::opt::firefly_optimizer< ObjectiveFunction >::iterations_ {0}

private

Number of iterations.

Definition at line 448 of file firefly_optimizer.h.

◆ lower_

template<concepts::multi_variate_objective_function ObjectiveFunction>

variable_type num_collect::opt::firefly_optimizer< ObjectiveFunction >::lower_ {}

private

Element-wise lower limit.

Definition at line 371 of file firefly_optimizer.h.

◆ max_evaluations_

template<concepts::multi_variate_objective_function ObjectiveFunction>

index_type num_collect::opt::firefly_optimizer< ObjectiveFunction >::max_evaluations_ {default_max_evaluations}

private

Maximum number of function evaluations.

Definition at line 457 of file firefly_optimizer.h.

◆ num_fireflies_

template<concepts::multi_variate_objective_function ObjectiveFunction>

index_type num_collect::opt::firefly_optimizer< ObjectiveFunction >::num_fireflies_ {default_num_fireflies}

private

Number of fireflies.

Definition at line 386 of file firefly_optimizer.h.

◆ obj_fun_

template<concepts::multi_variate_objective_function ObjectiveFunction>

objective_function_type num_collect::opt::firefly_optimizer< ObjectiveFunction >::obj_fun_

private

Objective function.

Definition at line 368 of file firefly_optimizer.h.

◆ opt_value_

template<concepts::multi_variate_objective_function ObjectiveFunction>

value_type num_collect::opt::firefly_optimizer< ObjectiveFunction >::opt_value_ {std::numeric_limits<value_type>::max()}

private

Current optimal value.

Definition at line 445 of file firefly_optimizer.h.

◆ opt_variable_

template<concepts::multi_variate_objective_function ObjectiveFunction>

variable_type num_collect::opt::firefly_optimizer< ObjectiveFunction >::opt_variable_ {}

private

Current optimal variable.

Definition at line 442 of file firefly_optimizer.h.

◆ random_coeff_

template<concepts::multi_variate_objective_function ObjectiveFunction>

variable_scalar_type num_collect::opt::firefly_optimizer< ObjectiveFunction >::random_coeff_ {default_random_coeff}

private

Coefficient of the random walk.

Note: This value is \(\alpha\) in [32].

Definition at line 419 of file firefly_optimizer.h.

◆ random_number_generator_

template<concepts::multi_variate_objective_function ObjectiveFunction>

random_number_generator_type num_collect::opt::firefly_optimizer< ObjectiveFunction >::random_number_generator_

private

Initial value:

{

std::random_device()()}

Random number generator.

Definition at line 431 of file firefly_optimizer.h.

◆ random_walk_distribution_

template<concepts::multi_variate_objective_function ObjectiveFunction>

std::normal_distribution<variable_scalar_type> num_collect::opt::firefly_optimizer< ObjectiveFunction >::random_walk_distribution_ {}

private

Distribution for random walk. (Standard normal distribution.)

Definition at line 439 of file firefly_optimizer.h.

◆ upper_

template<concepts::multi_variate_objective_function ObjectiveFunction>

variable_type num_collect::opt::firefly_optimizer< ObjectiveFunction >::upper_ {}

private

Element-wise upper limit.

Definition at line 374 of file firefly_optimizer.h.

◆ values_

template<concepts::multi_variate_objective_function ObjectiveFunction>

Eigen::VectorX<value_type> num_collect::opt::firefly_optimizer< ObjectiveFunction >::values_

private

Function values of the current variables.

Definition at line 428 of file firefly_optimizer.h.

◆ variable_changes_

template<concepts::multi_variate_objective_function ObjectiveFunction>

util::vector<variable_type> num_collect::opt::firefly_optimizer< ObjectiveFunction >::variable_changes_

private

Buffer of variable changes.

Definition at line 425 of file firefly_optimizer.h.

◆ variables_

template<concepts::multi_variate_objective_function ObjectiveFunction>

util::vector<variable_type> num_collect::opt::firefly_optimizer< ObjectiveFunction >::variables_

private

Current variables. (Positions of fireflies.)

Definition at line 422 of file firefly_optimizer.h.

◆ width_

template<concepts::multi_variate_objective_function ObjectiveFunction>

variable_type num_collect::opt::firefly_optimizer< ObjectiveFunction >::width_ {}

private

Element-wise width.

Definition at line 377 of file firefly_optimizer.h.

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

include/num_collect/opt/firefly_optimizer.h

Public Types

Public Member Functions

Private Member Functions

Static Private Member Functions

Private Attributes

Static Private Attributes

Additional Inherited Members

Detailed Description

Member Typedef Documentation

◆ objective_function_type

◆ random_number_generator_type

◆ this_type

◆ value_type

◆ variable_scalar_type

◆ variable_type

Constructor & Destructor Documentation

◆ firefly_optimizer()

Member Function Documentation

◆ absorption_coeff()

◆ attractiveness_coeff()

◆ change_objective_function()

◆ configure_iteration_logger()

◆ correct_value_if_needed()

◆ evaluate_on()

◆ evaluations()

◆ init()

◆ is_stop_criteria_satisfied()

◆ iterate()

◆ iterations()

◆ max_evaluations()

◆ num_fireflies()

◆ opt_value()

◆ opt_variable()

◆ random_coeff()

◆ seed()

Member Data Documentation

◆ absorption_coeff_

◆ attractiveness_coeff_

◆ default_absorption_coeff

◆ default_attractiveness_coeff

◆ default_max_evaluations

◆ default_num_fireflies

◆ default_random_coeff

◆ dim_

◆ evaluations_

◆ initial_distribution_

◆ iterations_

◆ lower_

◆ max_evaluations_

◆ num_fireflies_

◆ obj_fun_

◆ opt_value_

◆ opt_variable_

◆ random_coeff_

◆ random_number_generator_

◆ random_walk_distribution_

◆ upper_

◆ values_

◆ variable_changes_

◆ variables_

◆ width_