makeMultiObjectiveFunction {smoof} | R Documentation |
Generator for multi-objective target functions.
Description
Generator for multi-objective target functions.
Usage
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
)
Arguments
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.
|
Value
[function
] Target function with additional stuff attached as attributes.
Examples
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)
[Package
smoof version 1.6.0.3
Index]