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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

Documentation:

Reference manual: Rmalschains.pdf

Downloads:

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

Reverse dependencies:

Reverse suggests: airGR, MSCMT

Linking:

Please use the canonical form https://CRAN.R-project.org/package=Rmalschains 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.
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