mutGauss function

Gaussian mutator.

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., $\tilde{\mathbf{x}}_i = \mathbf{x}_i + \sigma \mathcal{N}(0, 1)$.

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.

Returns

[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()