Rmalschains: Continuous Optimization using Memetic Algorithms with Local Search Chains (MA-LS-Chains)

An implementation of an algorithm family for continuous optimization called memetic algorithms with local search chains (MA-LS-Chains), as proposed in Molina et al. (2010) <doi:10.1162/evco.2010.18.1.18102> and Molina et al. (2011) <doi:10.1007/s00500-010-0647-2>. Rmalschains is further discussed in Bergmeir et al. (2016) <doi:10.18637/jss.v075.i04>. Memetic algorithms are hybridizations of genetic algorithms with local search methods. They are especially suited for continuous optimization.

Version: 0.2-10
Depends: Rcpp (≥ 0.9.10)
LinkingTo: Rcpp
Suggests: inline
Published: 2023-05-24
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), Richard J. Wagner [ctb, cph] (Author of the original implementation of ConfigFile.h that ships with the package)
Maintainer: Christoph Bergmeir <c.bergmeir at decsai.ugr.es>
License: GPL-3
NeedsCompilation: yes
Citation: Rmalschains citation info
Materials: ChangeLog
In views: MachineLearning, Optimization
CRAN checks: Rmalschains results


Reference manual: Rmalschains.pdf


Package source: Rmalschains_0.2-10.tar.gz
Windows binaries: r-prerel: Rmalschains_0.2-10.zip, r-release: Rmalschains_0.2-10.zip, r-oldrel: Rmalschains_0.2-10.zip
macOS binaries: r-prerel (arm64): Rmalschains_0.2-10.tgz, r-release (arm64): Rmalschains_0.2-10.tgz, r-oldrel (arm64): Rmalschains_0.2-10.tgz, r-prerel (x86_64): Rmalschains_0.2-10.tgz, r-release (x86_64): Rmalschains_0.2-10.tgz
Old sources: Rmalschains archive

Reverse dependencies:

Reverse suggests: airGR, MSCMT


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