mutGauss: Gaussian mutator.

In ecr: Evolutionary Computation in R

Gaussian mutator.

Description

Default Gaussian mutation operator known from Evolutionary Algorithms. This mutator is applicable only for representation="float". Given an individual \mathbf{x} \in R^l this mutator adds a Gaussian distributed random value to each component of \mathbf{x}, i.~e., \tilde{\mathbf{x}}_i = \mathbf{x}_i + \sigma \mathcal{N}(0, 1).

Usage

mutGauss(ind, p = 1L, 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(1) Standard deviance of the Gauss mutation, i. e., the mutation strength.
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]

References

[1] Beyer, Hans-Georg & Schwefel, Hans-Paul (2002). Evolution strategies. Kluwer Academic Publishers.

[2] Mateo, P. M. & Alberto, I. (2011). A mutation operator based on a Pareto ranking for multi-objective evolutionary algorithms. Springer Science+Business Meda. 57.

See Also

Other mutators: mutBitflip(), mutInsertion(), mutInversion(), mutJump(), mutPolynomial(), mutScramble(), mutSwap(), mutUniform()

ecr documentation built on March 31, 2023, 10:07 p.m.