internallyRegisterOptimizer: Register a new optimizer / optimization algorithm.

In jakobbossek/noir: Numerical optimization in R

Description

This function is the “make” of noir. It is a constructor for noir-optimizers.

Usage

internallyRegisterOptimizer(id, class, packages, hyper.par.set,
  par.values = list(), objective.type = "single-objective", tags = NULL)

Arguments

id	[character(1)] String representation of the optimizer.
class	[character(1)] Class used internally for the optimizer. Basically this can be equal to id.
packages	[character*] Packages needed to execute the optimizer. Default is NULL, i.e., base R is sufficient.
hyper.par.set	[ParamSet] Parameter set defining the algorithm parameters. See makeParamSet for details.
par.values	[list] Named list of parameter values. Default is the empty list.
objective.type	[character(1)] One of “single-objective” or “multi-objective”. See getAvailableObjectiveTypes.
tags	[character(1)] Keywords which characterize the properties of the optimizer. See getSupportedTags for a list of available tags. Default is NULL, i.e., no tags are assigned.

Value

[optimizer] S3 object encapsulating the optimizer.

jakobbossek/noir documentation built on May 18, 2019, 10:10 a.m.