dict_scalors_single {miesmuschel} | R Documentation |
Single Objective Scalor
Description
Scalor
that uses a single given objective, throwing an error in case it is used in a multi-objective problem.
In contrast to ScalorOne
, this Scalor
throws an error when more than one objective is present. When
this Scalor
gets used as the default value, e.g. for a Selector
, then it
forces the user to make an explicit decision about what Scalor
to use in a multi-objective setting.
Configuration Parameters
No configuration parameters.
Supported Operand Types
Supported Domain
classes are: p_lgl
('ParamLgl'), p_int
('ParamInt'), p_dbl
('ParamDbl'), p_fct
('ParamFct')
Dictionary
This Scalor
can be created with the short access form scl()
(scls()
to get a list), or through the the dictionary
dict_scalors
in the following way:
# preferred: scl("single") scls("single") # takes vector IDs, returns list of Scalors # long form: dict_scalors$get("single")
Super classes
miesmuschel::MiesOperator
-> miesmuschel::Scalor
-> ScalorSingleObjective
Methods
Public methods
Inherited methods
Method new()
Initialize the ScalorSingleObjective
object.
Usage
ScalorSingleObjective$new()
Method clone()
The objects of this class are cloneable with this method.
Usage
ScalorSingleObjective$clone(deep = FALSE)
Arguments
deep
Whether to make a deep clone.
See Also
Other scalors:
Scalor
,
dict_scalors_aggregate
,
dict_scalors_domcount
,
dict_scalors_fixedprojection
,
dict_scalors_hypervolume
,
dict_scalors_nondom
,
dict_scalors_one
,
dict_scalors_proxy
Examples
ss = scl("single")
p = ps(x = p_dbl(-5, 5))
# dummy data; note that ScalorOne does not depend on data content
data = data.frame(x = rep(0, 5))
fitnesses_so = c(1, 5, 2, 3, 0)
fitnesses_mo = matrix(c(1, 5, 2, 3, 0, 3, 1, 0, 10, 8), ncol = 2)
ss$prime(p)
ss$operate(data, fitnesses_so)
try(ss$operate(data, fitnesses_mo))