Recombinator {miesmuschel}R Documentation

Recombinator Base Class

Description

Base class representing recombination operations, inheriting from MiesOperator.

Recombinators get a table of individuals as input and return a table of modified individuals as output. Individuals are acted on by groups: every ⁠$n_indivs_out⁠ lines of output corresponds to a group of ⁠$n_indivs_in⁠ lines of input, and presence or absence of other input groups does not affect the result.

Recombination operations are performed in ES algorithms to facilitate exploration of the search space that combine partial solutions.

Inheriting

Recombinator is an abstract base class and should be inherited from. Inheriting classes should implement the private ⁠$.recombine()⁠ function. The user of the object calls ⁠$operate()⁠, which calls ⁠$.recombine()⁠ for each ⁠$n_indivs_in⁠ sized group of individuals after checking that the operator is primed, that the values argument conforms to the primed domain. ⁠$.recombine()⁠ should then return a table of ⁠$n_indivs_out⁠ individuals for each call. Typically, the ⁠$initialize()⁠ function should also be overloaded, and optionally the ⁠$prime()⁠ function; they should call their super equivalents.

Super class

miesmuschel::MiesOperator -> Recombinator

Active bindings

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.

n_indivs_out

(integer(1))
Number of individuals produced for each group of ⁠$n_indivs_in⁠ individuals.

Methods

Public methods

Inherited methods

Method new()

Initialize base class components of the Recombinator.

Usage
Recombinator$new(
  param_classes = c("ParamLgl", "ParamInt", "ParamDbl", "ParamFct"),
  param_set = ps(),
  n_indivs_in = 2,
  n_indivs_out = n_indivs_in,
  packages = character(0),
  dict_entry = NULL,
  own_param_set = quote(self$param_set)
)
Arguments
param_classes

(character)
Classes of parameters that the operator can handle. May contain any of "ParamLgl", "ParamInt", "ParamDbl", "ParamFct". Default is all of them.
The ⁠$param_classes⁠ field will reflect this value.

param_set

(ParamSet | list of expression)
Strategy parameters of the operator. This should be created by the subclass and given to super$initialize(). If this is a ParamSet, it is used as the MiesOperator's ParamSet directly. Otherwise it must be a list of expressions e.g. created by alist() that evaluate to ParamSets, possibly referencing self and private. These ParamSet are then combined using a ParamSetCollection. Default is the empty ParamSet.
The ⁠$param_set⁠ field will reflect this value.

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. 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. The number of results from the recombinator will be nrow(values) / n_indivs_in * n_indivs_out. Default equal to n_indivs_in.
The ⁠$n_indivs_out⁠ field will reflect this value.

packages

(character) Packages that need to be loaded for the operator to function. This should be declared so these packages can be loaded when operators run on parallel instances. Default is character(0).
The ⁠$packages⁠ field will reflect this values.

dict_entry

(character(1) | NULL)
Key of the class inside the Dictionary (usually one of dict_mutators, dict_recombinators, dict_selectors), where it can be retrieved using a short access function. May be NULL if the operator is not entered in a dictionary.
The ⁠$dict_entry⁠ field will reflect this value.

own_param_set

(language)
An expression that evaluates to a ParamSet indicating the configuration parameters that are entirely owned by this operator class (and not proxied from a construction argument object). This should be quote(self$param_set) (the default) when the param_set argument is not a list of expressions.


Method clone()

The objects of this class are cloneable with this method.

Usage
Recombinator$clone(deep = FALSE)
Arguments
deep

Whether to make a deep clone.

See Also

Other base classes: Filtor, FiltorSurrogate, MiesOperator, Mutator, MutatorDiscrete, MutatorNumeric, OperatorCombination, RecombinatorPair, Scalor, Selector, SelectorScalar

Other recombinators: OperatorCombination, 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, dict_recombinators_xounif


[Package miesmuschel version 0.0.4-2 Index]