setupGaussMutator

[<code>numeric(1)</code>]
Probability of mutation for the gauss mutation operator.

[<code>numeric(1)</code>
Standard deviance of the Gauss mutation, i. e., the mutation strength.

sdev


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


Provides a powerful framework for evolutionary
computing in R. The user can easily construct powerful evolutionary algorithms
for tackling both single- and multi-objective problems by plugging in different
predefined evolutionary building blocks, e. g., operators for mutation,
recombination and selection with just a few lines of code. Your problem
cannot be easily solved with a standard EA which works on real-valued vectors,
permutations or binary strings? No problem, 'ecr' has been developed with that in
mind. Extending the framework with own operators is also possible. Additionally
there are various comfort functions, like monitoring, logging and more.

setupGaussMutator: Generator of the Gaussian mutation operator.

Description

Usage

Arguments

Value

See Also