An implementation of an algorithm family for continuous optimization called memetic algorithms with local search chains (MA-LS-Chains). Memetic algorithms are hybridizations of genetic algorithms with local search methods. They are especially suited for continuous optimization.
| Version: | 0.2-6 |
| Depends: | Rcpp (≥ 0.9.10) |
| LinkingTo: | Rcpp |
| Suggests: | inline |
| Published: | 2019-09-17 |
| Author: | Christoph Bergmeir [aut, cre, cph], José M. Benítez [ths], Daniel Molina [aut, cph], Robert Davies [ctb, cph] (Developer of the matrix library newmat which partly ships with this package), Dirk Eddelbuettel [ctb, cph] (Developer of RcppDE from which code was used in evaluate.h), Nikolaus Hansen [ctb, cph] (Author of the original cmaes implementation that ships with the package) |
| Maintainer: | Christoph Bergmeir <c.bergmeir at decsai.ugr.es> |
| License: | GPL-3 | file LICENSE |
| NeedsCompilation: | yes |
| Citation: | Rmalschains citation info |
| Materials: | ChangeLog |
| In views: | MachineLearning, Optimization |
| CRAN checks: | Rmalschains results |
| Reference manual: | Rmalschains.pdf |
| Package source: | Rmalschains_0.2-6.tar.gz |
| Windows binaries: | r-devel: Rmalschains_0.2-6.zip, r-release: Rmalschains_0.2-6.zip, r-oldrel: Rmalschains_0.2-6.zip |
| macOS binaries: | r-release: Rmalschains_0.2-6.tgz, r-oldrel: Rmalschains_0.2-6.tgz |
| Old sources: | Rmalschains archive |
| Reverse imports: | hybridEnsemble |
| Reverse suggests: | airGR, MSCMT |
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