Continuous Optimization using Memetic Algorithms with Local Search Chains (MA-LS-Chains) R package Rmalschains version 0.2-11 CRAN Task View: MachineLearning (https://CRAN.R-project.org/view=MachineLearning) CRAN Task View: Optimization (https://CRAN.R-project.org/view=Optimization) 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. Software Depends: Rcpp (>= 0.9.10) LinkingTo: Rcpp Suggests: inline Christoph Bergmeir <c.bergmeir@decsai.ugr.es> Comprehensive R Archive Network (CRAN) 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) GPL-3 2026-01-29 application/tgz https://CRAN.R-project.org/package=Rmalschains doi:10.32614/CRAN.package.Rmalschains