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>.
| Version: |
0.9.0.0 |
| 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
 [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 |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=xega
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.