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xega
View on CRAN: Click
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Download and install xega package within the R console
Install from CRAN:
install.packages("xega")
Install from Github:
library("remotes")
install_github("cran/xega")
Install by package version:
library("remotes")
install_version("xega", "0.9.0.0")
Attach the package and use:
library("xega")
Maintained by
Andreas Geyer-Schulz
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[Scholar Profile | Author Map]
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First Published: 2024-03-20
Latest Update: 2024-03-20
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>.
How to cite:
Andreas Geyer-Schulz (2024). xega: Extended Evolutionary and Genetic Algorithms. R package version 0.9.0.0, https://cran.r-project.org/web/packages/xega. Accessed 12 Nov. 2024.
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