Zobrazeno 1 - 10
of 109
pro vyhledávání: '"Antonio J. Nebro"'
Publikováno v:
SoftwareX, Vol 24, Iss , Pp 101551- (2023)
Evolver is a tool based on the formulation of the automatic configuration and design of multi-objective metaheuristics as a multi-objective optimization problem that can be solved by using the same kind of algorithms; i.e., we are applying a meta-opt
Externí odkaz:
https://doaj.org/article/a1a8c3b50f874daa86ef1a38398b905d
Publikováno v:
Mathematical and Computational Applications, Vol 27, Iss 6, p 103 (2022)
NSGA-II is, by far, the most popular metaheuristic that has been adopted for solving multi-objective optimization problems. However, its most common usage, particularly when dealing with continuous problems, is circumscribed to a standard algorithmic
Externí odkaz:
https://doaj.org/article/e2ddce6e6a404b2987ddbffcb3656948
Publikováno v:
Applied Sciences, Vol 12, Iss 3, p 1491 (2022)
In recent years, the application of artificial intelligence has been revolutionizing the manufacturing industry, becoming one of the key pillars of what has been called Industry 4.0. In this context, we focus on the job shop scheduling problem (JSP),
Externí odkaz:
https://doaj.org/article/b9920b306107449b845572ad609e5d68
Publikováno v:
Applied Sciences, Vol 10, Iss 1, p 251 (2019)
The efficient calibration of hydrologic models allows experts to evaluate past events in river basins, as well as to describe new scenarios and predict possible future floodings. A difficulty in this context is the need to adjust a large number of pa
Externí odkaz:
https://doaj.org/article/b58ba7b89bc641188b4894e35b8d8f52
Autor:
María Jesús García-Godoy, Esteban López-Camacho, José García-Nieto, Antonio J. Nebro, José F. Aldana-Montes
Publikováno v:
Molecules, Vol 21, Iss 11, p 1575 (2016)
The human Epidermal Growth Factor (EGFR) plays an important role in signaling pathways, such as cell proliferation and migration. Mutations like G719S, L858R, T790M, G719S/T790M or T790M/L858R can alter its conformation, and, therefore, drug response
Externí odkaz:
https://doaj.org/article/b05b4d61bfb448a3a956493300c57603
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031340192
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92e2594e505171b1d1f1973ee7c45375
https://doi.org/10.1007/978-3-031-34020-8_4
https://doi.org/10.1007/978-3-031-34020-8_4
Autor:
Cristian Cardas, José F. Aldana-Martín, Antonio M. Burgueño-Romero, Antonio J. Nebro, Jose M. Mateos, Juan J. Sánchez
Publikováno v:
RIUMA. Repositorio Institucional de la Universidad de Málaga
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The popularization of Hadoop as the the-facto standard platform for data analytics in the context of Big Data applications has led to the upsurge of SQL-on-Hadoop systems, which provide scalable query execution engines allowing the use of SQL queries
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb2ce244940ab3f48fe2e63d28b34f0e
https://doi.org/10.1007/s10586-022-03718-9
https://doi.org/10.1007/s10586-022-03718-9
Autor:
Daniel Doblas, Antonio J. Nebro, Manuel López-Ibáñez, José García-Nieto, Carlos A. Coello Coello
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031201752
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba60cf8bb9464397843dc7bc7814f096
https://doi.org/10.1007/978-3-031-20176-9_3
https://doi.org/10.1007/978-3-031-20176-9_3
Autor:
Eneko Osaba, Javier Del Ser, Aritz D. Martinez, Jesus L. Lobo, Antonio J. Nebro, Xin-She Yang
Publikováno v:
2021 IEEE Symposium Series on Computational Intelligence (SSCI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe6c6e992932e1a60b160b65797c2704
https://doi.org/10.1109/ssci50451.2021.9660024
https://doi.org/10.1109/ssci50451.2021.9660024
Publikováno v:
Engineering Applications of Artificial Intelligence. 82:30-43
Industry 4.0 is revolutionizing decision making processes within the manufacturing industry. Among the technological portfolio enabling this revolution, the late literature has capitalized on the potential of data analytics for improving the producti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d7d0f03e9f7eb8c2c84e93b179e3989
https://doi.org/10.1016/j.engappai.2019.03.022
https://doi.org/10.1016/j.engappai.2019.03.022