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)
[numeric]
mutated individual.
[numeric
]
Numeric vector / individual to mutate.
[numeric(1)
]
Probability of mutation for the gauss mutation operator.
[numeric]
standard deviation(s) of the Gauss mutation.
[numeric
]
Vector of minimal values for each parameter of the decision space.
[numeric
]
Vector of maximal values for each parameter of the decision space.
Other operators:
mutDoubleGeom()
,
mutGaussIntScaled()
,
mutGaussInt()
,
mutPolynomialInt()
,
mutRandomChoice()
,
mutUniformInt()
,
recGaussian()
,
recIntIntermediate()
,
recIntSBX()