NomadOptimizer::Evaluator Class Reference

NOMAD-based Evaluator class. More...

Inherits Evaluator.

Public Member Functions
	Evaluator (const NOMAD::Parameters &p, Model &model)
	Constructor. More...
	~Evaluator (void)
	Destructor.
bool	eval_x (NOMAD::Eval_Point &x, const NOMAD::Double &h_max, bool &count_eval) const
	Main Evaluation Method. More...
bool	eval_x (std::list< NOMAD::Eval_Point * > &x, const NOMAD::Double &h_max, std::list< bool > &count_eval) const
	multi-point variant of evaluator
void	set_constraint_map (int numNomadNonlinearIneqConstraints, int numNomadNonlinearEqConstraints, std::vector< int > constraintMapIndices, std::vector< double > constraintMapMultipliers, std::vector< double > constraintMapOffsets)
	publishes constraint transformation
void	set_surrogate_usage (std::string useSurrogate)
	publishes surrogate usage

Private Member Functions
void	set_variables (const NOMAD::Eval_Point &x) const
	map NOMAD evaluation point to Dakota model
void	eval_model (bool allow_asynch, const NOMAD::Eval_Point &x) const
	evaluate the Dakota model (block or not, but don't collect response)
void	get_responses (const RealVector &ftn_vals, NOMAD::Eval_Point &x) const
	map Dakota model responses to NOMAD evaluation point

Private Attributes
Model &	_model
int	n_cont
int	n_disc_int
int	n_disc_real
int	numNomadNonlinearIneqConstr
	Number of nonlinear constraints after put into Nomad format.
int	numNomadNonlinearEqConstr
std::vector< int >	constrMapIndices
	map from Dakota constraint number to Nomad constraint number
std::vector< double >	constrMapMultipliers
	multipliers for constraint transformations
std::vector< double >	constrMapOffsets
	offsets for constraint transformations
std::string	useSgte
	defines use of surrogate in NOMAD

Detailed Description

NOMAD-based Evaluator class.

The NOMAD process requires an evaluation step, which calls the Simulation program. In the simplest version of this call, NOMAD executes the black box executable, which proceeds to write a file in a NOMAD-compatible format, which NOMAD reads to continue the process.

Because DAKOTA files are different form NOMAD files, and the simulations processed by DAKOTA already produce DAKOTA-compatible files, we cannot use this method for NOMAD. Instead, we implement the NomadEvaluator class, which takes the NOMAD inputs and passes them to DAKOTA's Interface for processing. The evaluator then passes the evaluation Responses into the NOMAD objects for further analysis.

Constructor & Destructor Documentation

Evaluator()

Evaluator	(	const NOMAD::Parameters &	p,
		Model &	model
	)

Constructor.

NOMAD Evaluator Constructor

Parameters

p	NOMAD Parameters object
model	DAKOTA Model object

Member Function Documentation

eval_x()

bool eval_x	(	NOMAD::Eval_Point &	x,
		const NOMAD::Double &	h_max,
		bool &	count_eval
	)		const

Main Evaluation Method.

Method that handles the communication between the NOMAD search process and the Black Box Evaluation managed by DAKOTA's Interface.

Parameters

x	Object that contains the points that need to evaluated. Once the evaluation is completed, this object also stores the output back to be read by NOMAD.
h_max	Current value of the barrier parameter. Not used in this implementation.
count_eval	Flag that indicates whether this evaluation counts towards the max number of evaluations, often set to false when the evaluation does not meet certain costs during expensive evaluations. Not used in this implementation.

Returns

true if the evaluation was successful; false otherwise.

References Dakota::get_responses(), and Dakota::set_variables().

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

• NomadOptimizer.hpp
• NomadOptimizer.cpp