Algoritmos y lenguajes paralelos.
PAL
Universidade Federal Fluminense
Niterói, BrasilPublicaciones en colaboración con investigadores/as de Universidade Federal Fluminense (3)
2018
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Selection methods and diversity preservation in many-objective evolutionary algorithms
Data Technologies and Applications, Vol. 52, Núm. 4, pp. 502-519
2017
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Impact of selection methods on the diversity of many-objective Pareto set approximations
Procedia Computer Science
2007
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Message from the HeteroPar 2007 chair
Proceedings - IEEE International Conference on Cluster Computing, ICCC