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

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: 0.2-3
Depends: Rcpp (≥ 0.9.10)
LinkingTo: Rcpp
Suggests: inline
Published: 2016-11-29
Author: Christoph Bergmeir, Daniel Molina, José M. Benítez
Maintainer: Christoph Bergmeir <c.bergmeir at decsai.ugr.es>
License: GPL-3 | file LICENSE
URL: http://sci2s.ugr.es/dicits/software/Rmalschains
NeedsCompilation: yes
Citation: Rmalschains citation info
Materials: ChangeLog
In views: MachineLearning, Optimization
CRAN checks: Rmalschains results


Reference manual: Rmalschains.pdf
Package source: Rmalschains_0.2-3.tar.gz
Windows binaries: r-devel: Rmalschains_0.2-3.zip, r-release: Rmalschains_0.2-3.zip, r-oldrel: Rmalschains_0.2-3.zip
OS X El Capitan binaries: r-release: Rmalschains_0.2-3.tgz
OS X Mavericks binaries: r-oldrel: Rmalschains_0.2-3.tgz
Old sources: Rmalschains archive

Reverse dependencies:

Reverse imports: hybridEnsemble
Reverse suggests: airGR, MSCMT


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