Freitas, Alan Robert Resende deGuimarães, Frederico GadelhaSilva, Rodrigo César PedrosaSouza, Marcone Jamilson Freitas2017-02-212017-02-212014FREITAS, A. R. R. de et al. Memetic self-adaptive evolution strategies applied to the maximum diversity problem. Optimization Letters, v. 8, n. 2, p. 705-714, fev. 2014. Disponível em: <http://link.springer.com/article/10.1007/s11590-013-0610-0>. Acesso em: 15 fev. 2017.1862-4480http://www.repositorio.ufop.br/handle/123456789/7290The maximum diversity problem consists in finding a subset of elements which have maximum diversity between each other. It is a very important problem due to its general aspect, that implies many practical applications such as facility location, genetics, and product design. We propose a method based on evolution strategies with local search and self-adaptation of the parameters. For all time limits from 1 to 300 s as well as for time to converge to the best solutions known, this method leads to better results when compared to other state-of-the-art algorithms.en-USrestritoMetaheuristicsEvolutionary algorithmsArtigo publicado em periodicohttp://link.springer.com/article/10.1007/s11590-013-0610-0https://doi.org/10.1007/s11590-013-0610-0