SelectorScalar {miesmuschel}

Selector making use of Scalors

Description

Base class inheriting from Selector for selection operations that make use of scalar values, generated by Scalor.

Inheriting

SelectorScaling is an abstract base class and should be inherited from. Inheriting classes should implement the private ⁠$.select_scalar()⁠ function. During ⁠$operate()⁠, the ⁠$.select_scalar()⁠ function is called, it should have three arguments, similar to Selector's ⁠$.select()⁠ function. values and n_select are as given to ⁠$.select()⁠ of the Selector. The fitnesses argument is first scaled by the associated Scalor and then passed on as a numeric vector.

Typically, ⁠$initialize()⁠ should also be overloaded when inheriting.

Super classes

miesmuschel::MiesOperator -> miesmuschel::Selector -> SelectorScalar

Active bindings

scalor

(Scalor)
Scalor used to scalarize fitnesses for selection.

Methods

Public methods

• SelectorScalar$new()

• SelectorScalar$prime()

• SelectorScalar$clone()

Inherited methods

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

Method new()

Initialize base class components of the SelectorScalar.

Usage

SelectorScalar$new(
  scalor = ScalorSingleObjective$new(),
  is_deterministic = FALSE,
  param_classes = c("ParamLgl", "ParamInt", "ParamDbl", "ParamFct"),
  param_set = ps(),
  supported = scalor$supported,
  packages = character(0),
  dict_entry = NULL
)

Arguments

scalor

(Scalor)
Scalor to use to generate scalar values from multiple objectives, if multi-objective optimization is performed. Initialized to ScalorSingleObjective: Doing single-objective optimization normally, throwing an error if used in multi-objective setting: In that case, a Scalor needs to be explicitly chosen.

is_deterministic

(logical(1))
Whether the Selector is deterministic. Setting this to TRUE adds a configuration parameter shuffle_selection (initialized to TRUE) that causes the selection to be shuffled.

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.

supported

(character)
Subset of "single-crit" and "multi-crit", indicating wether single and / or multi-criterion optimization is supported. Default to the supported set of scalor.
The ⁠$supported⁠ 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.

Method prime()

See MiesOperator method. Primes both this operator, as well as the wrapped operator given to scalor during construction.

Usage

SelectorScalar$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

SelectorScalar$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

See Also

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

Other selectors: Selector, dict_selectors_best, dict_selectors_maybe, dict_selectors_null, dict_selectors_proxy, dict_selectors_random, dict_selectors_sequential, dict_selectors_tournament