makeMultiObjectiveFunction: Generator for multi-objective target functions.
In smoof: Single and Multi-Objective Optimization Test Functions

Description Usage Arguments Value Examples

View source: R/makeMultiObjectiveFunction.R

Generator for multi-objective target functions.

makeMultiObjectiveFunction(name = NULL, id = NULL,
  description = NULL, fn, has.simple.signature = TRUE, par.set,
  n.objectives = NULL, noisy = FALSE, fn.mean = NULL,
  minimize = NULL, vectorized = FALSE, constraint.fn = NULL,
  ref.point = NULL)

`name`	[`character(1)`] Function name. Used for the title of plots for example.
`id`	[`character(1)` \| `NULL`] Optional short function identifier. If provided, this should be a short name without whitespaces and now special characters beside the underscore. Default is `NULL`, which means no ID at all.
`description`	[`character(1)` \| `NULL`] Optional function description.
`fn`	[`function`] Objective function.
`has.simple.signature`	[`logical(1)`] Set this to `TRUE` if the objective function expects a vector as input and `FALSE` if it expects a named list of values. The latter is needed if the function depends on mixed parameters. Default is `TRUE`.
`par.set`	[`ParamSet`] Parameter set describing different aspects of the objective function parameters, i.~e., names, lower and/or upper bounds, types and so on. See `makeParamSet` for further information.
`n.objectives`	[`integer(1)`] Number of objectives of the multi-objective function.
`noisy`	[`logical(1)`] Is the function noisy? Defaults to `FALSE`.
`fn.mean`	[`function`] Optional true mean function in case of a noisy objective function. This functions should have the same mean as `fn`.
`minimize`	[`logical`] Logical vector of length `n.objectives` indicating if the corresponding objectives shall be minimized or maximized. Default is the vector with all components set to `TRUE`.
`vectorized`	[`logical(1)`] Can the objective function handle “vector” input, i.~e., does it accept matrix of parameters? Default is `FALSE`.
`constraint.fn`	[`function \| NULL`] Function which returns a logical vector indicating whether certain conditions are met or not. Default is `NULL`, which means, that there are no constraints beside possible box constraints defined via the `par.set` argument.
`ref.point`	[`numeric`] Optional reference point in the objective space, e.g., for hypervolume computation.

[function] Target function with additional stuff attached as attributes.

fn = makeMultiObjectiveFunction(
  name = "My test function",
  fn = function(x) c(sum(x^2), exp(x)),
  n.objectives = 2L,
  par.set = makeNumericParamSet("x", len = 1L, lower = -5L, upper = 5L)
)
print(fn)

Loading required package: ParamHelpers
Loading required package: BBmisc
Loading required package: checkmate
Multi-objective function
Number of objectives: 2
Reference point:      ()
Name: My test function
Description: no description
Tags: 
Noisy: FALSE
Minimize: TRUE,TRUE
Constraints: TRUE
Number of parameters: 1
           Type len Def  Constr Req Tunable Trafo
x numericvector   1   - -5 to 5   -    TRUE     -