Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Efren Mezura-Montes"'
Autor:
Eric Santiago-Valenten, Edgar Alfredo Portilla-Flores, Efren Mezura-Montes, Eduardo Vega-Alvarado, Maria Barbara Calva-Yanez, Martin Pedroza-Villalba
Publikováno v:
IEEE Access, Vol 7, Pp 587-596 (2019)
In this paper, a graph-theory-based approach for representing planar mechanisms is presented, the Santiago Portilla method (SPM). From the corresponding adjacency matrix, SPM generates an extended matrix containing the complete characterization of a
Externí odkaz:
https://doaj.org/article/ee8141282999441da2138aeaec6ac155
Autor:
Hector Cervantes-Culebro, Carlos A. Cruz-Villar, Maria-Guadalupe Martinez Penaloza, Efren Mezura-Montes
Publikováno v:
IEEE Access, Vol 5, Pp 23010-23021 (2017)
In this paper, a concurrent structure-control design is applied to a five-bar parallel robot in order to minimize the tracking error in a high-speed task. The high power necessary to perform the task leads to a challenging problem in handling a physi
Externí odkaz:
https://doaj.org/article/03cd634dd5e8489593eeaacd57e6b526
Autor:
Daniel Molina-Pérez, Efren Mezura-Montes, Edgar Alfredo Portilla-Flores, Eduardo Vega-Alvarado
Publikováno v:
Computación y Sistemas. 27
Publikováno v:
2022 19th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE).
Several Artificial Intelligence based heuristic and metaheuristic algorithms have been developed so far. These algorithms have shown their superiority towards solving complex problems from different domains. However, it is necessary to critically val
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9321231c2a180d43831ae20ce36fe43b
http://arxiv.org/abs/2212.03711
http://arxiv.org/abs/2212.03711
Autor:
Daniel Molina Perez, Edgar Alfredo Portilla-Flores, Efren Mezura-Montes, Eduardo Vega-Alvarado
Publikováno v:
2022 IEEE Congress on Evolutionary Computation (CEC).
This presented study provides a novel analysis of scholarly literature on constraint handling techniques for single-objective and multi-objective population-based algorithms according to the most relevant journals, keywords, authors, and articles. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8daa2b0a7a9d5e1b74551a060618ddbf
http://arxiv.org/abs/2206.13802
http://arxiv.org/abs/2206.13802
Publikováno v:
Handbook of Nature-Inspired Optimization Algorithms: The State of the Art ISBN: 9783031075155
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5f9a6b885d4f2b906790c46fe82ea33
https://doi.org/10.1007/978-3-031-07516-2_4
https://doi.org/10.1007/978-3-031-07516-2_4
Publikováno v:
Mathematical and Computational Applications
Volume 28
Issue 1
Pages: 6
Volume 28
Issue 1
Pages: 6
The Grouping Genetic Algorithm (GGA) is an extension to the standard Genetic Algorithm that uses a group-based representation scheme and variation operators that work at the group-level. This metaheuristic is one of the most used to solve combinatori
Autor:
Delmer Alejandro Lopez-Hernandez, Efren Mezura-Montes, Jorge Octavio Ocharan-Hernandez, Angel J. Sanchez-Garcia
Publikováno v:
2021 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC).