dict_scalors_one: Single Dimension Scalor

In miesmuschel: Mixed Integer Evolution Strategies

Single Dimension Scalor

Description

Scalor that returns a the fitness value of a single objective dimension as scale.

Configuration Parameters

• objective :: integer(1)
  objective to return as scale, ranges from 1 (the default, first objective) to the number of objectives of the function being optimized.

Supported Operand Types

Supported Domain classes are: p_lgl ('ParamLgl'), p_int ('ParamInt'), p_dbl ('ParamDbl'), p_fct ('ParamFct')

Dictionary

This Scalor can be created with the short access form scl() (scls() to get a list), or through the the dictionary dict_scalors in the following way:

# preferred:
scl("one")
scls("one")  # takes vector IDs, returns list of Scalors

# long form:
dict_scalors$get("one")

Super classes

miesmuschel::MiesOperator -> miesmuschel::Scalor -> ScalorOne

Methods

Public methods

• ScalorOne$new()

• ScalorOne$clone()

Inherited methods

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

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Method new()

Initialize the ScalorOne object.

Usage

ScalorOne$new()

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Method clone()

The objects of this class are cloneable with this method.

Usage

ScalorOne$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

See Also

Other scalors: Scalor, dict_scalors_aggregate, dict_scalors_domcount, dict_scalors_fixedprojection, dict_scalors_hypervolume, dict_scalors_nondom, dict_scalors_proxy, dict_scalors_single

Examples

so = scl("one")
p = ps(x = p_dbl(-5, 5))
# dummy data; note that ScalorOne does not depend on data content
data = data.frame(x = rep(0, 5))
fitnesses = matrix(c(1, 5, 2, 3, 0, 3, 1, 0, 10, 8), ncol = 2)

so$prime(p)

so$operate(data, fitnesses)

so$param_set$values$objective = 2

so$operate(data, fitnesses)

miesmuschel documentation built on April 4, 2025, 5:19 a.m.