Zobrazeno 1 - 10
of 219
pro vyhledávání: '"Juan J. Merelo"'
Autor:
Juan J. Merelo-Guervós
Publikováno v:
Histories, Vol 4, Iss 2, Pp 234-255 (2024)
The Republic of Venice was one of the longest-lived states in modern history, and its stability and survival have been studied through many different angles. One of the main research angles is to try and find pivotal moments in its history that expla
Externí odkaz:
https://doaj.org/article/27197c786fea4d2cb488bf5caeb118f4
Publikováno v:
Biomimetics, Vol 9, Iss 8, p 476 (2024)
In this paper, we aim to enhance genetic algorithms (GAs) by integrating a dynamic model based on biological life cycles. This study addresses the challenge of maintaining diversity and adaptability in GAs by incorporating stages of birth, growth, re
Externí odkaz:
https://doaj.org/article/142708e75d0849a595d011ce8d2246e9
Autor:
Juan J. Merelo
Publikováno v:
Histories, Vol 3, Iss 1, Pp 21-31 (2023)
During most of the lifespan of the Venetian republic, doges (the name their presidents received) were elected for life. However, a long tenure was a rare event, which effectively resulted in term limits, as has already been reported by several author
Externí odkaz:
https://doaj.org/article/81101d9eba3348278a79ad6c7e9a449e
Autor:
Ibrahim Aljarah, Hossam Faris, Ali Asghar Heidari, Majdi M. Mafarja, Ala' M. Al-Zoubi, Pedro A. Castillo, Juan J. Merelo
Publikováno v:
IEEE Access, Vol 9, Pp 100009-100028 (2021)
Classification tasks often include, among the large number of features to be processed in the datasets, many irrelevant and redundant ones, which can even decrease the efficiency of classifiers. Feature Selection (FS) is the most common preprocessing
Externí odkaz:
https://doaj.org/article/ec496ac1b84b4374bc2ab0f656576ae3
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Guervos, Juan J. Merelo
Algorithm::Evolutionary (A::E from now on) was introduced in 2002, after a talk in YAPC::EU in Munich. 7 years later, A::E is in its 0.67 version (past its "number of the beast" 0.666), and has been used extensively, to the point of being the foundat
Externí odkaz:
http://arxiv.org/abs/0908.0516
Migration policies in distributed evolutionary algorithms has not been an active research area until recently. However, in the same way as operators have an impact on performance, the choice of migrants is due to have an impact too. In this paper we
Externí odkaz:
http://arxiv.org/abs/0806.2843
Autor:
Juan J. Merelo, Pedro A. Castillo, Antonio M. Mora, Francisco Barranco, Noorhan Abbas, Alberto Guillén, Olia Tsivitanidou
Publikováno v:
Learning and Collaboration Technologies. Novel Technological Environments ISBN: 9783031056741
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90c3aba99e674273367d37175cdb33ff
https://doi.org/10.1007/978-3-031-05675-8_16
https://doi.org/10.1007/978-3-031-05675-8_16
Publikováno v:
Studies in Computational Intelligence ISBN: 9783031082658
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d370121ec7e20d5dbebf411a4934699f
https://doi.org/10.1007/978-3-031-08266-5_20
https://doi.org/10.1007/978-3-031-08266-5_20
Publikováno v:
Studies in Computational Intelligence ISBN: 9783031082658
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f05354b1ebd0d10b1173c1c7a9875de
https://doi.org/10.1007/978-3-031-08266-5_8
https://doi.org/10.1007/978-3-031-08266-5_8