dict_recombinators_proxy {miesmuschel}

Proxy-Recombinator that Recombines According to its Configuration parameter

Description

Recombinator that performs the operation in its operation configuration parameter. This is useful, e.g., to make OptimizerMies's recombination operation fully parametrizable.

Configuration Parameters

• operation :: Recombinator
  Operation to perform. Must be set by the user. This is primed when ⁠$prime()⁠ of RecombinatorProxy is called, and also when ⁠$operate()⁠ is called, to make changing the operation as part of self-adaption possible. However, if the same operation gets used inside multiple RecombinatorProxy objects, then it is recommended to ⁠$clone(deep = TRUE)⁠ the object before assigning them to operation to avoid frequent re-priming.

Supported Operand Types

Supported Param classes are: ParamLgl, ParamInt, ParamDbl, 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("proxy")
recs("proxy")  # takes vector IDs, returns list of Recombinators

# long form:
dict_recombinators$get("proxy")

Super classes

miesmuschel::MiesOperator -> miesmuschel::Recombinator -> RecombinatorProxy

Methods

Public methods

• RecombinatorProxy$new()

• RecombinatorProxy$prime()

• RecombinatorProxy$clone()

Inherited methods

• miesmuschel::MiesOperator$help()
• miesmuschel::MiesOperator$operate()
• miesmuschel::MiesOperator$print()
• miesmuschel::MiesOperator$repr()

Method new()

Initialize the RecombinatorProxy object.

Usage

RecombinatorProxy$new(n_indivs_in = 2, n_indivs_out = n_indivs_in)

Arguments

n_indivs_in

(integer(1))
Number of individuals to consider at the same time. When operating, the number of input individuals must be divisible by this number. Furthermore, the Recombinator assigned to the operation configuration parameter must have an n_indivs_in that is a divisor of this number. Default 2.
The ⁠$n_indivs_in⁠ field will reflect this value.

n_indivs_out

(integer(1))
Number of individuals that result for each n_indivs_in lines of input. Must be at most n_indivs_in. The ratio of ⁠$n_indivs_in⁠ to ⁠$n_indivs_out⁠ of the Recombinator assigned to the operation configuration parameter must be the same as n_indivs_in to n_indivs_out of this object. Default equal to n_indivs_in.
The ⁠$n_indivs_out⁠ field will reflect this value.

Method prime()

See MiesOperator method. Primes both this operator, as well as the operator given to the operation configuration parameter. Note that this modifies the ⁠$param_set$values$operation⁠ object.

Usage

RecombinatorProxy$prime(param_set)

Arguments

param_set

(ParamSet)
Passed to MiesOperator⁠$prime()⁠.

Returns

invisible self.

Method clone()

The objects of this class are cloneable with this method.

Usage

RecombinatorProxy$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

See Also

Other recombinators: OperatorCombination, RecombinatorPair, Recombinator, dict_recombinators_cmpmaybe, dict_recombinators_convex, dict_recombinators_cvxpair, dict_recombinators_maybe, dict_recombinators_null, dict_recombinators_sbx, dict_recombinators_sequential, dict_recombinators_swap, dict_recombinators_xonary, dict_recombinators_xounif

Other recombinator wrappers: OperatorCombination, dict_recombinators_cmpmaybe, dict_recombinators_maybe, dict_recombinators_sequential

Examples

set.seed(1)
rp = rec("proxy", operation = rec("xounif"))
p = ps(x = p_int(-5, 5), y = p_dbl(-5, 5), z = p_lgl())
data = data.frame(x = 1:4, y = 0:3, z = rep(TRUE, 4))

rp$prime(p)
rp$operate(data)  # default operation: null

rp$param_set$values$operation = rec("xounif", p = 0.5)
rp$operate(data)