| dict_recombinators_xounif {miesmuschel} | R Documentation | 
Crossover Recombinator
Description
Values between two individuals are exchanged with component-wise independent probability.
This is a pseudo-class: It does not create a single R6-object of a class;
instead, it creates the object rec("cmpmaybe", rec("swap"), p = 0.5),
making use of the RecombinatorCmpMaybe and RecombinatorSwap operators.
Usage
RecombinatorCrossoverUniform(keep_complement = TRUE)
Arguments
keep_complement | 
 (  | 
Value
an object of class Recombinator: rec("cmpmaybe", rec("swap")).
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("xounif")
recs("xounif")  # takes vector IDs, returns list of Recombinators
# long form:
dict_recombinators$get("xounif")
See Also
Other recombinators: 
OperatorCombination,
Recombinator,
RecombinatorPair,
dict_recombinators_cmpmaybe,
dict_recombinators_convex,
dict_recombinators_cvxpair,
dict_recombinators_maybe,
dict_recombinators_null,
dict_recombinators_proxy,
dict_recombinators_sbx,
dict_recombinators_sequential,
dict_recombinators_swap,
dict_recombinators_xonary
Examples
set.seed(1)
rx = rec("xounif")
print(rx)
p = ps(x = p_int(-5, 5), y = p_dbl(-5, 5), z = p_dbl(-5, 5))
data = data.frame(x = 0:5, y = 0:5, z = 0:5)
rx$prime(p)
rx$operate(data)
rx$param_set$values$p = 0.3
rx$operate(data)