Complete list of parameters

A set of parameters is available in the table below for fine tuning algorithmic settings. Additional information on each parameter is available by typing $NOMAD_HOME/bin/nomad -h PARAM_NAME.

NOMAD 4 parameters

Name	Type	Argument	Short description	Default
ADD_SEED_TO_FILE_NAMES	bool	advanced	The flag to add seed to the file names	true
ANISOTROPIC_MESH	bool	advanced	MADS uses anisotropic mesh for generating directions	true
ANISOTROPY_FACTOR	NOMAD::Double	advanced	MADS anisotropy factor for mesh size change	0.1
BB_EXE	std::string	basic	Blackbox executable
BB_INPUT_TYPE	NOMAD::BBInputTypeList	basic	The variable blackbox input types	R
BB_MAX_BLOCK_SIZE	size_t	advanced	Size of blocks of points, to be used for parallel evaluations	1
BB_OUTPUT_TYPE	NOMAD::BBOutputTypeList	basic	Type of outputs provided by the blackboxes	OBJ
CACHE_FILE	std::string	basic	Cache file name
CACHE_SIZE_MAX	size_t	advanced	Maximum number of evaluation points to be stored in the cache	INF
CS_OPTIMIZATION	bool	basic	Coordinate Search optimization	false
DIMENSION	size_t	basic	Dimension of the optimization problem (required)	0
DIRECTION_TYPE	NOMAD::DirectionTypeList	advanced	Direction types for Poll steps	ORTHO N+1 QUAD
DIRECTION_TYPE_SECONDARY_POLL	NOMAD::DirectionTypeList	advanced	Direction types for Mads secondary poll	DOUBLE
DISPLAY_ALL_EVAL	bool	basic	Flag to display all evaluations	false
DISPLAY_DEGREE	int	basic	Level of verbose during execution	2
DISPLAY_HEADER	size_t	advanced	Frequency at which the stats header is displayed	40
DISPLAY_INFEASIBLE	bool	advanced	Flag to display infeasible	false
DISPLAY_MAX_STEP_LEVEL	size_t	advanced	Depth of the step after which info is not printed	20
DISPLAY_STATS	NOMAD::ArrayOfString	basic	Format for displaying the evaluation points	BBE OBJ
DISPLAY_UNSUCCESSFUL	bool	advanced	Flag to display unsuccessful	false
EVAL_OPPORTUNISTIC	bool	advanced	Opportunistic strategy: Terminate evaluations as soon as a success is found	true
EVAL_QUEUE_CLEAR	bool	advanced	Opportunistic strategy: Flag to clear EvaluatorControl queue between each run	true
EVAL_QUEUE_SORT	NOMAD::EvalSortType	advanced	How to sort points before evaluation	QUADRATIC_MODEL
EVAL_STATS_FILE	string	basic	The name of the file for stats about evaluations and successes
EVAL_SURROGATE_COST	size_t	advanced	Cost of the surrogate function versus the true function	INF
EVAL_SURROGATE_OPTIMIZATION	bool	advanced	Use static surrogate as blackbox for optimization	false
EVAL_USE_CACHE	bool	advanced	Use cache in algorithms	true
FIXED_VARIABLE	NOMAD::Point	advanced	Fix some variables to some specific values
FRAME_CENTER_USE_CACHE	bool	advanced	Find best points in the cache and use them as frame centers	false
GRANULARITY	NOMAD::ArrayOfDouble	advanced	The granularity of the variables
HISTORY_FILE	std::string	basic	The name of the history file
HOT_RESTART_FILE	std::string	advanced	The name of the hot restart file	hotrestart.txt
HOT_RESTART_ON_USER_INTERRUPT	bool	advanced	Flag to perform a hot restart on user interrupt	false
HOT_RESTART_READ_FILES	bool	advanced	Flag to read hot restart files	false
HOT_RESTART_WRITE_FILES	bool	advanced	Flag to write hot restart files	false
H_MAX_0	NOMAD::Double	advanced	Initial value of hMax.	NOMAD::INF
INITIAL_FRAME_SIZE	NOMAD::ArrayOfDouble	advanced	The initial frame size of MADS
INITIAL_MESH_SIZE	NOMAD::ArrayOfDouble	advanced	The initial mesh size of MADS
LH_EVAL	size_t	basic	Latin Hypercube Sampling of points (no optimization)	0
LH_SEARCH	NOMAD::LHSearchType	basic	Latin Hypercube Sampling Search method
LOWER_BOUND	NOMAD::ArrayOfDouble	basic	The optimization problem lower bounds for each variable
MAX_BB_EVAL	size_t	basic	Stopping criterion on the number of blackbox evaluations	INF
MAX_EVAL	size_t	advanced	Stopping criterion on the number of evaluations (blackbox and cache)	INF
MAX_ITERATIONS	size_t	advanced	The maximum number of iterations of the MADS algorithm	INF
MAX_ITERATION_PER_MEGAITERATION	size_t	advanced	Maximum number of Iterations to generate for each MegaIteration.	INF
MAX_SURROGATE_EVAL_OPTIMIZATION	size_t	basic	Stopping criterion on the number of static surrogate evaluations	INF
MAX_TIME	size_t	basic	Maximum wall-clock time in seconds	INF
MEGA_SEARCH_POLL	bool	advanced	Evaluate points generated from Search and Poll steps all at once	false
MIN_FRAME_SIZE	NOMAD::ArrayOfDouble	advanced	Termination criterion on minimal frame size of MADS
MIN_MESH_SIZE	NOMAD::ArrayOfDouble	advanced	Termination criterion on minimal mesh size of MADS
NB_THREADS_OPENMP	int	advanced	The number of threads when OpenMP parallel evaluations are enabled	-1
NM_DELTA_E	NOMAD::Double	advanced	NM expansion parameter delta_e.	2
NM_DELTA_IC	NOMAD::Double	advanced	NM inside contraction parameter delta_ic.	-0.5
NM_DELTA_OC	NOMAD::Double	advanced	NM outside contraction parameter delta_oc.	0.5
NM_GAMMA	NOMAD::Double	advanced	NM shrink parameter gamma.	0.5
NM_OPTIMIZATION	bool	advanced	Nelder Mead stand alone optimization for constrained and unconstrained pbs	false
NM_SEARCH	bool	advanced	Nelder Mead optimization used as a search step for Mads	true
NM_SEARCH_MAX_TRIAL_PTS_NFACTOR	size_t	advanced	NM-Mads search stopping criterion.	80
NM_SEARCH_RANK_EPS	NOMAD::Double	advanced	NM-Mads epsilon for the rank of DZ.	0.01
NM_SEARCH_STOP_ON_SUCCESS	bool	advanced	NM-Mads search stops on success.	false
NM_SIMPLEX_INCLUDE_FACTOR	size_t	advanced	Construct NM simplex using points in cache.	8
NM_SIMPLEX_INCLUDE_LENGTH	NOMAD::Double	advanced	Construct NM simplex using points in cache.	INF
PSD_MADS_ITER_OPPORTUNISTIC	bool	advanced	Opportunistic strategy between the Mads subproblems in PSD-MADS	true
PSD_MADS_NB_SUBPROBLEM	size_t	advanced	Number of PSD-MADS subproblems	INF
PSD_MADS_NB_VAR_IN_SUBPROBLEM	size_t	advanced	Number of variables in PSD-MADS subproblems	2
PSD_MADS_OPTIMIZATION	bool	advanced	PSD-MADS optimization algorithm	0
PSD_MADS_ORIGINAL	bool	advanced	Use NOMAD 3 strategy for mesh update in PSD-MADS	false
PSD_MADS_SUBPROBLEM_MAX_BB_EVAL	size_t	advanced	Max number of evaluations for each subproblem	INF
PSD_MADS_SUBPROBLEM_PERCENT_COVERAGE	NOMAD::Double	advanced	Percentage of variables that must be covered in subproblems before updating mesh	70
QUAD_MODEL_DISPLAY	std::string	advanced	Display of a model
QUAD_MODEL_MAX_BLOCK_SIZE	size_t	advanced	Size of blocks of points, to be used for parallel evaluations	INF
QUAD_MODEL_MAX_EVAL	size_t	advanced	Max number of model evaluations for each optimization of the quad model problem	5000
QUAD_MODEL_OPTIMIZATION	bool	advanced	Quad model stand alone optimization for constrained and unconstrained pbs	false
QUAD_MODEL_SEARCH	bool	basic	Quad model search	true
QUAD_MODEL_SLD_SEARCH	bool	basic	Quad model (SLD) search	false
REJECT_UNKNOWN_PARAMETERS	bool	advanced	Flag to reject unknown parameters when checking validity of parameters	false
RHO	NOMAD::Double	advanced	Rho parameter of the progressive barrier	0.1
SEED	int	advanced	The seed for the pseudo-random number generator	0
SGTELIB_MAX_POINTS_FOR_MODEL	size_t	advanced	Maximum number of valid points used to build a model	500
SGTELIB_MIN_POINTS_FOR_MODEL	size_t	advanced	Minimum number of valid points necessary to build a model	1
SGTELIB_MODEL_DEFINITION	NOMAD::ArrayOfString	advanced	Definition of the Sgtelib model
SGTELIB_MODEL_DISPLAY	std::string	advanced	Display of a model
SGTELIB_MODEL_DIVERSIFICATION	NOMAD::Double	advanced	Coefficient of the exploration term in the sgtelib model problem	0.01
SGTELIB_MODEL_EVAL	bool	advanced	Sgtelib Model Sampling of points	0
SGTELIB_MODEL_FEASIBILITY	NOMAD::SgtelibModelFeasibilityType	advanced	Method used to model the feasibility of a point	C
SGTELIB_MODEL_FORMULATION	NOMAD::SgtelibModelFormulationType	advanced	Formulation of the sgtelib model problem	FS
SGTELIB_MODEL_MAX_BLOCK_SIZE	size_t	advanced	Size of blocks of points, to be used for parallel evaluations	INF
SGTELIB_MODEL_MAX_EVAL	size_t	advanced	Max number of model evaluations for each optimization of the sgtelib model problem	1000
SGTELIB_MODEL_SEARCH	bool	basic	Model search using Sgtelib	false
SGTELIB_MODEL_SEARCH_CANDIDATES_NB	int	advanced	Number of candidates returned by the sgtelib model search	-1
SGTELIB_MODEL_SEARCH_EXCLUSION_AREA	NOMAD::Double	advanced	Exclusion area for the sgtelib model search around points of the cache	0.0
SGTELIB_MODEL_SEARCH_FILTER	std::string	advanced	Methods used in the sgtelib search filter to return several search candidates	2345
SOLUTION_FILE	std::string	basic	The name of the file containing the best feasible solution
SPECULATIVE_SEARCH	bool	basic	MADS speculative search method	true
SPECULATIVE_SEARCH_BASE_FACTOR	NOMAD::Double	advanced	Distance of the MADS speculative search method	4.0
SPECULATIVE_SEARCH_MAX	size_t	advanced	MADS speculative search method	1
SSD_MADS_ITER_OPPORTUNISTIC	bool	advanced	Opportunistic strategy between the Mads subproblems in SSD-MADS	true
SSD_MADS_NB_SUBPROBLEM	size_t	advanced	Number of SSD-MADS subproblems	INF
SSD_MADS_NB_VAR_IN_SUBPROBLEM	size_t	advanced	Number of variables in SSD-MADS subproblems	2
SSD_MADS_OPTIMIZATION	bool	advanced	SSD-MADS optimization algorithm	0
SSD_MADS_RESET_VAR_PICKUP_SUBPROBLEM	bool	advanced	Reset random variable pick-up for each subproblem	false
SSD_MADS_SUBPROBLEM_MAX_BB_EVAL	size_t	advanced	Max number of evaluations for each subproblem	INF
STATS_FILE	NOMAD::ArrayOfString	basic	The name of the stats file
STOP_IF_FEASIBLE	bool	advanced	Stop algorithm once a feasible point is obtained	false
STOP_IF_PHASE_ONE_SOLUTION	bool	advanced	Stop algorithm once a phase one solution is obtained	false
SURROGATE_EXE	std::string	advanced	Static surrogate executable
TMP_DIR	std::string	advanced	Directory where to put temporary files
UPPER_BOUND	NOMAD::ArrayOfDouble	basic	The optimization problem upper bounds for each variable
USER_CALLS_ENABLED	bool	advanced	Controls the automatic calls to user function	true
VARIABLE_GROUP	NOMAD::ListOfVariableGroup	advanced	The groups of variables)
VNS_MADS_OPTIMIZATION	bool	advanced	VNS MADS stand alone optimization for constrained and unconstrained pbs	false
VNS_MADS_SEARCH	bool	advanced	VNS Mads optimization used as a search step for Mads	false
VNS_MADS_SEARCH_MAX_TRIAL_PTS_NFACTOR	size_t	advanced	VNS-Mads search stopping criterion.	100
VNS_MADS_SEARCH_TRIGGER	NOMAD::Double	advanced	VNS Mads search trigger	0.75
X0	NOMAD::ArrayOfPoint	basic	The initial point(s)