Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Fredy Juárez-Pérez"'
Grid-Based Hybrid Genetic Approach to Relaxed Flexible Flow Shop with Sequence-Dependent Setup Times
Autor:
Fredy Juárez-Pérez, Marco Antonio Cruz-Chávez, Rafael Rivera-López, Erika Yesenia Ávila-Melgar, Marta Lilia Eraña-Díaz, Martín H. Cruz-Rosales
Publikováno v:
Applied Sciences, Vol 12, Iss 2, p 607 (2022)
In this paper, a hybrid genetic algorithm implemented in a grid environment to solve hard instances of the flexible flow shop scheduling problem with sequence-dependent setup times is introduced. The genetic algorithm takes advantage of the distribut
Externí odkaz:
https://doaj.org/article/76ed40b0fe8d413eaefa5e59e238f86a
Autor:
Marta Lilia Eraña-Díaz, Marco Antonio Cruz-Chávez, Fredy Juárez-Pérez, Juana Enriquez-Urbano, Rafael Rivera-López, Mario Acosta-Flores
Publikováno v:
Mathematics, Vol 9, Iss 10, p 1126 (2021)
This paper presents a methodological scheme to obtain the maximum benefit in occupational health by attending to psychosocial risk factors in a company. This scheme is based on selecting an optimal subset of psychosocial risk factors, considering the
Externí odkaz:
https://doaj.org/article/766dd7bc31614480bb3fa89985dfe31c
Autor:
Fredy Juárez-Pérez, Juana Enriquez-Urbano, Rafael Rivera-López, Mario Acosta-Flores, Marta Lilia Eraña-Díaz, Marco Antonio Cruz-Chávez
Publikováno v:
Mathematics
Volume 9
Issue 10
Mathematics, Vol 9, Iss 1126, p 1126 (2021)
Volume 9
Issue 10
Mathematics, Vol 9, Iss 1126, p 1126 (2021)
This paper presents a methodological scheme to obtain the maximum benefit in occupational health by attending to psychosocial risk factors in a company. This scheme is based on selecting an optimal subset of psychosocial risk factors, considering the
Autor:
Sergio Natan González-Rocha, Juan Cervantes-Pérez, Fredy Juárez-Pérez, Z. Arturo González-Cerezo, Lizeth Ríos Velasco, Inés Palomino-Méndez, José María Baldasano Recio
Publikováno v:
Atmospheric and Climate Sciences. :286-305
In this paper an approach of a synoptic classification by cluster k-means (CKM) and the European Groswettertypes (GWT) was performed and executed in COST733 package. The methodology used a CKM with nine clusters and GWT with 16. The COST733 evaluated
Autor:
Ismael Everardo Bárcenas Patiño, Fredy Juárez Pérez, Manuel Martinez Gutierrez, José Rafael Rojano-Cáceres
Publikováno v:
Research in Computing Science. 128:121-129
Autor:
Abelardo Rodriguez-Leon, Alina Martinez-Oropeza, Rafael Rivera-López, Carmen Peralta-Abarca, Marco Antonio Cruz-Chávez, Fredy Juárez-Pérez
Around the world there have recently been new and more powerful computing platforms created that can be used to work with computer science problems. Some of these problems that are dealt with are real problems of the industry; most are classified by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8036d9048c3740f2c7fca6c453e403a7
https://doi.org/10.4018/978-1-4666-0297-7.ch003
https://doi.org/10.4018/978-1-4666-0297-7.ch003
Autor:
Fredy Juárez-Pérez, Rafael Rivera-López, Marco Antonio Cruz-Chávez, Abelardo Rodriguez-Leon, Martin-Heriberto Cruz-Rosales, Erika-Yesenia Avila-Melgar
Publikováno v:
2010 IEEE Electronics, Robotics and Automotive Mechanics Conference.
In this work is defined a scheme of two stages for sending population segments of one Parallel Genetic Algorithm (PGA) to the nodes of an experimental grid called “Tarantula miniGrid”. The technique used to link the clusters and to configure the
Autor:
Sergio A. Serna Barquera, Erika Yesenia Ávila-Melgar, Fredy Juárez-Pérez, Marco Antonio Cruz-Chávez
Publikováno v:
2010 IEEE Electronics, Robotics and Automotive Mechanics Conference.
This paper presents a general methodology for the conversion of the sequential evolutionary algorithms into parallel evolutionary algorithms using MPI. The methodology is showed by applying it to a combinatorial optimization problem well-known as Wat
Autor:
Marco Antonio Cruz-Chávez, Erika Yesenia Ávila-Melgar, Fredy Juárez-Pérez, Martín H. Cruz-Rosales, Abelardo Rodriguez-Leon, Rafael Rivera-López
Publikováno v:
Communications in Computer and Information Science ISBN: 9783642164439
SUComS
SUComS
This paper presents a parallel hybrid evolutionary algorithm executed in a grid environment. The algorithm executes local searches using simulated annealing within a Genetic Algorithm to solve the job shop scheduling problem. Experimental results of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3c3c8f0d033568744e1bf8c265474e4
https://doi.org/10.1007/978-3-642-16444-6_1
https://doi.org/10.1007/978-3-642-16444-6_1
Autor:
Fredy Juárez-Pérez, Alina Martinez-Oropeza, Erika Yesenia Ávila-Melgar, Marco Antonio Cruz-Chávez
Publikováno v:
2009 Electronics, Robotics and Automotive Mechanics Conference (CERMA).
In this paper, a solution is presented to the unrelated parallel machines problem that minimizes the total weighted completion time. Simulated annealing is applied to the problem, which is modeled as a Weighted Bipartite Matching Problem. Experimenta