dict_recombinators_swap {miesmuschel} | R Documentation |
Swap Recombinator
Description
Values between two individuals are exchanged. This is relatively useless as an operator by itself, but is used
in combination with RecombinatorCmpMaybe
to get a recombinator that is crossing over individuals
uniformly at random. Because this is such a frequently-used operation, the RecombinatorCrossoverUniform
pseudo-class
exists as a shortcut.
Configuration Parameters
None.
Supported Operand Types
Supported Domain
classes are: p_lgl
('ParamLgl'), p_int
('ParamInt'), p_dbl
('ParamDbl'), p_fct
('ParamFct')
Dictionary
This Recombinator
can be created with the short access form rec()
(recs()
to get a list), or through the the dictionary
dict_recombinators
in the following way:
# preferred: rec("swap") recs("swap") # takes vector IDs, returns list of Recombinators # long form: dict_recombinators$get("swap")
Super classes
miesmuschel::MiesOperator
-> miesmuschel::Recombinator
-> miesmuschel::RecombinatorPair
-> RecombinatorSwap
Methods
Public methods
Inherited methods
Method new()
Initialize the RecombinatorCrossoverSwap
object.
Usage
RecombinatorSwap$new(keep_complement = TRUE)
Arguments
keep_complement
(
logical(1)
)
Whether the operation should keep both resulting individuals (TRUE
), or only the first and discard the complement (FALSE
). DefaultTRUE
. The$keep_complement
field will reflect this value.
Method clone()
The objects of this class are cloneable with this method.
Usage
RecombinatorSwap$clone(deep = FALSE)
Arguments
deep
Whether to make a deep clone.
See Also
Other recombinators:
OperatorCombination
,
Recombinator
,
RecombinatorPair
,
dict_recombinators_cmpmaybe
,
dict_recombinators_convex
,
dict_recombinators_cvxpair
,
dict_recombinators_maybe
,
dict_recombinators_null
,
dict_recombinators_proxy
,
dict_recombinators_sbx
,
dict_recombinators_sequential
,
dict_recombinators_xonary
,
dict_recombinators_xounif
Examples
set.seed(1)
rs = rec("swap")
p = ps(x = p_int(-5, 5), y = p_dbl(-5, 5), z = p_dbl(-5, 5))
data = data.frame(x = 0:5, y = 0:5, z = 0:5)
rs$prime(p)
rs$operate(data)
rx = rec("cmpmaybe", rec("swap"), p = 0.5) # the same as 'rec("xounif")'
rx$prime(p)
rx$operate(data)