IOHproblem: get an IOHproblem objects

In IOHexperimenter: Benchmarking Part of the 'IOHprofiler'

Description

If an 'experimenter'-argument is provided, this is the same function as 'next_problem' If not, this creates a suite consisting of a single function based on the other arguments

Usage

IOHproblem(suite = "PBO", functionnr = 1, dim = 16, instance = 1,
  experimenter = NULL)

Arguments

suite	The suite to use. Either 'PBO' or 'BBOB'
functionnr	The number of the function to create
dim	The dimension of the function to create
instance	The instance of the function to create
experimenter	(optional) an IOHexperimenter object

Details

An IOHproblem-object has the following attributes:

• "Dimension": The dimesion of the problem

• "function_id: The number of the function

• "instance: The number of the function-instance

• suite: The suite of the function. Either 'PBO' or 'BBOB'

• fopt: If known, the optimal value of the function

• lbound: The lower bound of the searchspace

• ubound: The upper bound of the searchspace

• maximization: Boolean indicating whether the function should be maximized or minimized

• params.track: The parameters which are being tracked on this function. Only available if initialized in the underlying IOHexperimenter-object (or when using the 'benchmark_algorithm'-function)

In addition to these attributes, there are three function-attributes available to use:

• obj_function: The interface to evaluate the function

• target_hit: Boolean indicating if the optimal has been hit (if known)

• set_parameters: Interface to storing the current parameter values (if param.track is initialized), This has two arguments: the list of names of parameters to update (must match those of param.track) and a list of equal length containing their respective values.

Value

An IOHproblem object

Examples

p <- IOHproblem()

IOHexperimenter documentation built on Sept. 1, 2020, 5:08 p.m.