Gaussian Distribution Mutator

Individuals are mutated with an independent normal random variable on each component.

Configuration Parameters

• sdev :: numeric
  Standard deviation of normal distribuion. This is absolute if sdev_is_relative is FALSE, and multiplied with each individual component's range (upper - lower) if sdev_is_relative is TRUE. This may either be a scalar, in which case it is applied to all input components, or a vector, in which case it must have the length of the input and applies to components in order in which they appear in the priming ParamSet. Must be set by the user.

• sdev_is_relative :: logical(1)
  Whether sdev is absolute (FALSE) or relative to component range (TRUE). Initialized to FALSE.

• truncated_normal :: logical(1)
  Whether to draw individuals from a normal distribution that is truncated at the bounds of each component (TRUE), or to draw from a normal distribution and then restrict to bounds afterwards (FALSE). The former (TRUE) will lead to very few to no samples landing on the exact bounds (analytically it would be none almost surely, but this is subject to machine precision), the latter (FALSE) can lead to a substantial number of samples landing on the exact bounds. Initialized to FALSE.

Supported Operand Types

Supported Param classes are: ParamInt, ParamDbl

Dictionary

This Mutator can be created with the short access form mut() (muts() to get a list), or through the the dictionary dict_mutators in the following way:

# preferred:
mut("gauss")
muts("gauss")  # takes vector IDs, returns list of Mutators

# long form:
dict_mutators$get("gauss")

See also

Other mutators: Mutator, MutatorDiscrete, MutatorNumeric, OperatorCombination, dict_mutators_cmpmaybe, dict_mutators_erase, dict_mutators_maybe, dict_mutators_null, dict_mutators_proxy, dict_mutators_sequential, dict_mutators_unif

Super classes

miesmuschel::MiesOperator -> miesmuschel::Mutator -> miesmuschel::MutatorNumeric -> MutatorGauss

Methods

Public methods

• MutatorGauss$new()

• MutatorGauss$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 MutatorGauss object.

Usage

MutatorGauss$new()

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Method clone()

The objects of this class are cloneable with this method.

Usage

MutatorGauss$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

set.seed(1)
mg = mut("gauss", sdev = 0.1)
p = ps(x = p_int(-5, 5), y = p_dbl(-5, 5))
data = data.frame(x = rep(0, 5), y = rep(0, 5))

mg$prime(p)
mg$operate(data)
#>    x          y
#> 1 -1  0.1836433
#> 2 -1  1.5952808
#> 3  0 -0.8204684
#> 4  1  0.7383247
#> 5  1 -0.3053884

mg$param_set$values$sdev = 100
mg$operate(data)
#>    x  y
#> 1  5  5
#> 2 -5 -5
#> 3  5 -5
#> 4 -5  5
#> 5  5  5