Scaled Gaussian Mutator

Source: R/operators.R

See ecr::mutGauss. Allows a vector of standard deviations. Scales standard deviations to the range of [lower, upper].

mutGaussScaled(ind, p = 1, sdev = 0.05, lower, upper)

Arguments

ind

[numeric]
Numeric vector / individual to mutate.
p

[numeric(1)]
Probability of mutation for the gauss mutation operator.
sdev

[numeric] standard deviation(s) of the Gauss mutation.
lower

[numeric]
Vector of minimal values for each parameter of the decision space.
upper

[numeric]
Vector of maximal values for each parameter of the decision space.

Value

[numeric] mutated individual.

See also

Other operators: mutDoubleGeom(), mutGaussIntScaled(), mutGaussInt(), mutPolynomialInt(), mutRandomChoice(), mutUniformInt(), recGaussian(), recIntIntermediate(), recIntSBX()