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.


Reference manual

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0.2-6 by Christoph Bergmeir, a year ago

Browse source code at

Authors: 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)

Documentation:   PDF Manual  

Task views: Machine Learning & Statistical Learning, Optimization and Mathematical Programming

GPL-3 | file LICENSE license

Depends on Rcpp

Suggests inline

Linking to Rcpp

Imported by hybridEnsemble.

Suggested by MSCMT, airGR.

See at CRAN