opennn::ResponseOptimization Class Reference

#include <opennn/response_optimization/response_optimization.h>

Inheritance diagram for opennn::ResponseOptimization:

Classes
struct	Constraint
struct	Objective
struct	Objectives

Public Member Functions
void	set (Network *=nullptr)
	ResponseOptimization (Network *=nullptr)
virtual	~ResponseOptimization ()
void	add_objective (const string &, Objective::Sense, float value=0.0f)
void	add_constraint (const string &, Constraint::Condition, const vector< float > &values={})
void	clear_objectives ()
Index	get_objectives_number () const
bool	is_objective (const string &name) const
pair< Index, VectorR >	get_advised_point (const MatrixR &results) const
void	set_iterations_number (Index)
void	set_points_number (Index)
void	set_sampling_budget_multiplier (Index)
void	set_maximum_consecutive_failures (Index)
void	set_feasibility_rounds (Index)
void	set_feasibility_evaluations (Index)
void	set_feasibility_margin_factor (float)
MatrixR	perform_response_optimization ()

Protected Member Functions
virtual MatrixR	single_optimization ()=0
virtual MatrixR	multi_optimization ()=0
pair< VectorR, VectorR >	calculate_domain ()
pair< VectorR, VectorR >	solve (VectorR) const
string	get_sampling_failure () const
VectorR	calculate_random_input (const pair< VectorR, VectorR > &) const
void	assign_random_categories (VectorR &, float probability=1.0f) const
MatrixR	evaluate_objectives (const MatrixR &, const MatrixR &) const
vector< Index >	calculate_pareto_front (const MatrixR &) const
vector< Index >	clean_front (const MatrixR &, const MatrixR &) const

Protected Attributes
Network *	network = nullptr
vector< Objective >	objectives
vector< Constraint >	constraints
pair< VectorR, VectorR >	input_bounds
Index	iterations_number = 20
Index	points_number = 1000
Index	sampling_budget_multiplier = 0
Index	maximum_consecutive_failures = 0
Index	requested_front_size = 100

Constructor & Destructor Documentation

ResponseOptimization()

opennn::ResponseOptimization::ResponseOptimization ( Network * = nullptr )

explicit

~ResponseOptimization()

virtual opennn::ResponseOptimization::~ResponseOptimization ( )

virtual

Member Function Documentation

add_constraint()

void opennn::ResponseOptimization::add_constraint	(	const string &	,
		Constraint::Condition	,
		const vector< float > &	values = {} )

add_objective()

void opennn::ResponseOptimization::add_objective	(	const string &	,
		Objective::Sense	,
		float	value = 0.0f )

assign_random_categories()

void opennn::ResponseOptimization::assign_random_categories ( VectorR & , float probability = 1.0f ) const

protected

calculate_domain()

pair< VectorR, VectorR > opennn::ResponseOptimization::calculate_domain ( )

protected

calculate_pareto_front()

vector< Index > opennn::ResponseOptimization::calculate_pareto_front ( const MatrixR & ) const

protected

calculate_random_input()

VectorR opennn::ResponseOptimization::calculate_random_input ( const pair< VectorR, VectorR > & ) const

protected

clean_front()

vector< Index > opennn::ResponseOptimization::clean_front ( const MatrixR & , const MatrixR &  ) const

protected

clear_objectives()

void opennn::ResponseOptimization::clear_objectives ( )

inline

evaluate_objectives()

MatrixR opennn::ResponseOptimization::evaluate_objectives ( const MatrixR & , const MatrixR &  ) const

protected

get_advised_point()

pair< Index, VectorR > opennn::ResponseOptimization::get_advised_point

(

const MatrixR &

results

)

const

get_objectives_number()

Index opennn::ResponseOptimization::get_objectives_number ( ) const

inline

get_sampling_failure()

string opennn::ResponseOptimization::get_sampling_failure ( ) const

protected

is_objective()

bool opennn::ResponseOptimization::is_objective

(

const string &

name

)

const

multi_optimization()

virtual MatrixR opennn::ResponseOptimization::multi_optimization ( )

protectedpure virtual

perform_response_optimization()

MatrixR opennn::ResponseOptimization::perform_response_optimization

(

)

set()

void opennn::ResponseOptimization::set

(

Network *

= nullptr

)

set_feasibility_evaluations()

void opennn::ResponseOptimization::set_feasibility_evaluations

(

Index

)

set_feasibility_margin_factor()

void opennn::ResponseOptimization::set_feasibility_margin_factor

(

float

)

set_feasibility_rounds()

void opennn::ResponseOptimization::set_feasibility_rounds

(

Index

)

set_iterations_number()

void opennn::ResponseOptimization::set_iterations_number

(

Index

)

set_maximum_consecutive_failures()

void opennn::ResponseOptimization::set_maximum_consecutive_failures

(

Index

)

set_points_number()

void opennn::ResponseOptimization::set_points_number

(

Index

)

set_sampling_budget_multiplier()

void opennn::ResponseOptimization::set_sampling_budget_multiplier

(

Index

)

single_optimization()

virtual MatrixR opennn::ResponseOptimization::single_optimization ( )

protectedpure virtual

solve()

pair< VectorR, VectorR > opennn::ResponseOptimization::solve ( VectorR ) const

protected

Member Data Documentation

constraints

vector<Constraint> opennn::ResponseOptimization::constraints

protected

input_bounds

pair<VectorR, VectorR> opennn::ResponseOptimization::input_bounds

protected

iterations_number

Index opennn::ResponseOptimization::iterations_number = 20

protected

maximum_consecutive_failures

Index opennn::ResponseOptimization::maximum_consecutive_failures = 0

protected

network

Network* opennn::ResponseOptimization::network = nullptr

protected

objectives

vector<Objective> opennn::ResponseOptimization::objectives

protected

points_number

Index opennn::ResponseOptimization::points_number = 1000

protected

requested_front_size

Index opennn::ResponseOptimization::requested_front_size = 100

protected

sampling_budget_multiplier

Index opennn::ResponseOptimization::sampling_budget_multiplier = 0

protected