xegaDfUCrossGene

<code>xegaDfUCrossGene()</code> swaps alleles of both genes
 with a probability of 0.5. It generates a random 
 mask which is used to build the new gene.

Representation-dependent gene-level operations
for genetic and evolutionary algorithms with real-coded genes
used in the R-package 'xega' <https://CRAN.R-project.org/package=xega>
are collected in this package. The common feature of the gene
operations is that all of them are useful for derivation-free
optimization algorithms. At the moment the package
implements initialization, mutation, crossover, and replication
operations for differential evolution as described in
Price, Kenneth V., Storn, Rainer M. and Lampinen, Jouni A. (2005)
<doi:10.1007/3-540-31306-0>. In addition, several (more recent)
methods for determining the scale factor are provided.
For 'xega''s architecture,
see Geyer-Schulz, A. (2025) <doi:10.5445/IR/1000187255>.

Andreas Geyer-Schulz

xegaDfGene

Gene Operations for Real-Coded Genes

xegaDfUCrossGene function

<dl><dt>gg1</dt>
<dd>Real-coded gene.</dd>
<dt>gg2</dt>
<dd>Real-coded gene.</dd>
<dt>lF</dt>
<dd>Local configuration of the genetic algorithm.</dd></dl>

Arguments

Uniform crossover of 2 genes. — xegaDfUCrossGene

<dl>

<dt>gg1</dt>
<dd>Real-coded gene.</dd>


<dt>gg2</dt>
<dd>Real-coded gene.</dd>


<dt>lF</dt>
<dd>Local configuration of the genetic algorithm.</dd>

</dl>

xegaDfUCrossGene: Uniform crossover of 2 genes.

Description

Usage

Value

Arguments

References

See Also

Examples