#include <response_optimization.h>

Classes
struct	Condition

struct	Domain

struct	Objectives

Public Types
enum class	ConditionType { None , Between , EqualTo , LessEqualTo , GreaterEqualTo , LessThan , GreaterThan , Minimize , Maximize }

Public Member Functions
Objectives	build_objectives () const

	ResponseOptimization (NeuralNetwork =nullptr, Dataset =nullptr)

void	set (NeuralNetwork =nullptr, Dataset =nullptr)

void	clear_conditions ()

void	set_condition (const string &name, const ConditionType condition, float low_bound=0.0, float up_bound=0.0)

void	set_iterations (const int iterations)

void	set_zoom_factor (float new_zoom_factor)

void	set_evaluations_number (const int new_evaluations_number)

void	set_relative_tolerance (float new_relative_tolerance)

vector< float >	get_utopian_point () const

Domain	get_original_domain (const string role) const

Condition	get_condition (const Index index) const

MatrixR	calculate_random_inputs (const Domain &input_domain) const

pair< MatrixR, MatrixR >	filter_feasible_points (const MatrixR &inputs, const MatrixR &outputs, const Domain &output_domain) const

pair< MatrixR, MatrixR >	calculate_optimal_points (const MatrixR &feasible_inputs, const MatrixR &feasible_outputs, const Objectives &objectives) const

MatrixR	assemble_results (const MatrixR &inputs, const MatrixR &outputs) const

MatrixR	perform_single_objective_optimization (const Objectives &objectives) const

pair< MatrixR, MatrixR >	calculate_pareto (const MatrixR &inputs, const MatrixR &outputs, const MatrixR &objective_matrix) const

pair< float, float >	calculate_quality_metrics (const MatrixR &inputs, const MatrixR &outputs, const Objectives &objectives) const

MatrixR	perform_multiobjective_optimization (const Objectives &objectives) const

MatrixR	perform_response_optimization () const

Member Enumeration Documentation

◆ ConditionType

enum class opennn::ResponseOptimization::ConditionType

strong

Enumerator
None
Between
EqualTo
LessEqualTo
GreaterEqualTo
LessThan
GreaterThan
Minimize
Maximize

Constructor & Destructor Documentation

◆ ResponseOptimization()

opennn::ResponseOptimization::ResponseOptimization	(	NeuralNetwork *	= nullptr,
		Dataset *	= nullptr )

Member Function Documentation

◆ assemble_results()

MatrixR opennn::ResponseOptimization::assemble_results	(	const MatrixR &	inputs,
		const MatrixR &	outputs ) const

◆ build_objectives()

Objectives opennn::ResponseOptimization::build_objectives ( ) const

◆ calculate_optimal_points()

pair< MatrixR, MatrixR > opennn::ResponseOptimization::calculate_optimal_points	(	const MatrixR &	feasible_inputs,
		const MatrixR &	feasible_outputs,
		const Objectives &	objectives ) const

◆ calculate_pareto()

pair< MatrixR, MatrixR > opennn::ResponseOptimization::calculate_pareto	(	const MatrixR &	inputs,
		const MatrixR &	outputs,
		const MatrixR &	objective_matrix ) const

◆ calculate_quality_metrics()

pair< float, float > opennn::ResponseOptimization::calculate_quality_metrics	(	const MatrixR &	inputs,
		const MatrixR &	outputs,
		const Objectives &	objectives ) const

◆ calculate_random_inputs()

MatrixR opennn::ResponseOptimization::calculate_random_inputs ( const Domain & input_domain ) const

◆ clear_conditions()

void opennn::ResponseOptimization::clear_conditions ( )

◆ filter_feasible_points()

pair< MatrixR, MatrixR > opennn::ResponseOptimization::filter_feasible_points	(	const MatrixR &	inputs,
		const MatrixR &	outputs,
		const Domain &	output_domain ) const

◆ get_condition()

Condition opennn::ResponseOptimization::get_condition ( const Index index ) const

◆ get_original_domain()

Domain opennn::ResponseOptimization::get_original_domain ( const string role ) const

◆ get_utopian_point()

vector< float > opennn::ResponseOptimization::get_utopian_point ( ) const

◆ perform_multiobjective_optimization()

MatrixR opennn::ResponseOptimization::perform_multiobjective_optimization ( const Objectives & objectives ) const

◆ perform_response_optimization()

MatrixR opennn::ResponseOptimization::perform_response_optimization ( ) const

◆ perform_single_objective_optimization()

MatrixR opennn::ResponseOptimization::perform_single_objective_optimization ( const Objectives & objectives ) const

◆ set()

void opennn::ResponseOptimization::set	(	NeuralNetwork *	= nullptr,
		Dataset *	= nullptr )

◆ set_condition()

void opennn::ResponseOptimization::set_condition	(	const string &	name,
		const ConditionType	condition,
		float	low_bound = 0.0,
		float	up_bound = 0.0 )

◆ set_evaluations_number()

void opennn::ResponseOptimization::set_evaluations_number ( const int new_evaluations_number )

◆ set_iterations()

void opennn::ResponseOptimization::set_iterations ( const int iterations )

◆ set_relative_tolerance()

void opennn::ResponseOptimization::set_relative_tolerance ( float new_relative_tolerance )

◆ set_zoom_factor()

void opennn::ResponseOptimization::set_zoom_factor ( float new_zoom_factor )

Classes

Public Types

Public Member Functions