Zobrazeno 1 - 10
of 444
pro vyhledávání: '"LOBO, FERNANDO"'
Autor:
Díaz, Mario, Hernández, Dácil, Valdés-Baizabal, Catalina, Lobo, Fernando, Marín, Raquel, Canerina-Amaro, Ana, Boto, Alicia, Lahoz, Fernando
Publikováno v:
In Optical Materials April 2023 138
Autor:
Araújo, Marcela Emílio de, Paies, Marina Bozzini, Arrais, Ana Beatriz, Lobo, Fernando Ladd, de Lima, Ruthnaldo Rodrigues Melo, Caldas, Sergei Godeiro Fernandes Rabelo
Publikováno v:
In American Journal of Orthodontics & Dentofacial Orthopedics April 2022 161(4):e353-e360
Autor:
Ruiz, Soledad, Quipildor, Matías, Ruiz-Monachesi, Mario Ricardo, Escalante, Leonardo, Valdecantos, Soledad, Lobo, Fernando
Publikováno v:
In Zoologischer Anzeiger May 2021 292:126-138
Autor:
Salvat B., Pablo
Publikováno v:
Revue philosophique de Louvain, 1986 Aug 01. 84(63), 411-412.
Externí odkaz:
https://www.jstor.org/stable/26339693
Autor:
Pereira, José C., Lobo, Fernando G.
The Java implementation of a portfolio of parameter-less evolutionary algorithms is presented. The Parameter-less Evolutionary Portfolio implements a heuristic that performs adaptive selection of parameter-less evolutionary algorithms in accordance w
Externí odkaz:
http://arxiv.org/abs/1506.08867
Autor:
Pereira, José C., Lobo, Fernando G.
The Parameter-less Genetic Algorithm was first presented by Harik and Lobo in 1999 as an alternative to the usual trial-and-error method of finding, for each given problem, an acceptable set-up of the parameter values of the genetic algorithm. Since
Externí odkaz:
http://arxiv.org/abs/1506.08694
Autor:
Pereira, José C., Lobo, Fernando G.
The Simple Genetic Algorithm, the Univariate Marginal Distribution Algorithm, the Extended Compact Genetic Algorithm, and the Hierarchical Bayesian Optimization Algorithm are all well known Evolutionary Algorithms. In this report we present a Java im
Externí odkaz:
http://arxiv.org/abs/1506.07980
Autor:
Lobo, Fernando G., Bazargani, Mosab
This paper investigates the performance of multistart next ascent hillclimbing and well-known evolutionary algorithms incorporating diversity preservation techniques on instances of the multimodal problem generator. This generator induces a class of
Externí odkaz:
http://arxiv.org/abs/1504.06859
Autor:
Lobo, Fernando1 (AUTHOR) flobopal@ull.edu.es, González, Maily Selena2 (AUTHOR) alicia@ipna.csic.es, Boto, Alicia2 (AUTHOR) jm.perezdelalastra@csic.es, Pérez de la Lastra, José Manuel2 (AUTHOR)
Publikováno v:
International Journal of Molecular Sciences. Jun2023, Vol. 24 Issue 12, p10270. 13p.