xega: Extended Evolutionary and Genetic Algorithms

Implementation of a scalable, highly configurable, and e(x)tended architecture for (e)volutionary and (g)enetic (a)lgorithms. Multiple representations (binary, real-coded, permutation, and derivation-tree), a rich collection of genetic operators, as well as an extended processing pipeline are provided for genetic algorithms (Goldberg, D. E. (1989, ISBN:0-201-15767-5)), differential evolution (Price, Kenneth V., Storn, Rainer M. and Lampinen, Jouni A. (2005) <doi:10.1007/3-540-31306-0>), simulated annealing (Aarts, E., and Korst, J. (1989, ISBN:0-471-92146-7)), grammar-based genetic programming (Geyer-Schulz (1997, ISBN:978-3-7908-0830-X)), and grammatical evolution (Ryan, C., O'Neill, M., and Collins, J. J. (2018) <doi:10.1007/978-3-319-78717-6>). All algorithms reuse basic adaptive mechanisms for performance optimization. Sequential or parallel execution (on multi-core machines, local clusters, and high performance computing environments) is available for all algorithms. See <https://github.com/ageyerschulz/xega/tree/main/examples/executionModel>.

Depends: R (≥ 3.5.0), parallelly
Imports: xegaSelectGene, xegaBNF, xegaDerivationTrees, xegaGaGene, xegaGpGene, xegaGeGene, xegaDfGene, xegaPermGene, xegaPopulation
Suggests: testthat (≥ 3.0.0)
Published: 2024-03-20
DOI: 10.32614/CRAN.package.xega
Author: Andreas Geyer-Schulz ORCID iD [aut, cre]
Maintainer: Andreas Geyer-Schulz <Andreas.Geyer-Schulz at kit.edu>
License: MIT + file LICENSE
URL: <https://github.com/ageyerschulz/xega>
NeedsCompilation: no
Materials: README
CRAN checks: xega results


Reference manual: xega.pdf


Package source: xega_0.9.0.0.tar.gz
Windows binaries: r-devel: xega_0.9.0.0.zip, r-release: xega_0.9.0.0.zip, r-oldrel: xega_0.9.0.0.zip
macOS binaries: r-release (arm64): xega_0.9.0.0.tgz, r-oldrel (arm64): xega_0.9.0.0.tgz, r-release (x86_64): xega_0.9.0.0.tgz, r-oldrel (x86_64): xega_0.9.0.0.tgz


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