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DESCRIPTION
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DESCRIPTION
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Package: xega
Title: Extended Evolutionary and Genetic Algorithms
Version: 0.9.0.0
Authors@R:
person(given = "Andreas",
family = "Geyer-Schulz",
role = c("aut", "cre"),
email = "Andreas.Geyer-Schulz@kit.edu",
comment = c(ORCID = "0009-0000-5237-3579"))
Description:
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>.
License: MIT + file LICENSE
URL: <https://github.com/ageyerschulz/xega>
Encoding: UTF-8
RoxygenNote: 7.2.3
Depends: R (>= 3.5.0), parallelly
Imports: xegaSelectGene, xegaBNF, xegaDerivationTrees, xegaGaGene,
xegaGpGene, xegaGeGene, xegaDfGene, xegaPermGene,
xegaPopulation
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-03-19 10:25:55 UTC; dj2333
Author: Andreas Geyer-Schulz [aut, cre]
(<https://orcid.org/0009-0000-5237-3579>)
Maintainer: Andreas Geyer-Schulz <Andreas.Geyer-Schulz@kit.edu>
Repository: CRAN
Date/Publication: 2024-03-20 09:00:02 UTC