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

Constructor.

NOMAD Evaluator Constructor

Parameters
pNOMAD Parameters object
modelDAKOTA Model object

Member Function Documentation

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
xObject 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_maxCurrent value of the barrier parameter. Not used in this implementation.
count_evalFlag 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().


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