Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Marco Antonio Cruz-Chavez"'
Autor:
Marta Lilia Erana-Diaz, Marco Antonio Cruz-Chavez, Rafael Rivera-Lopez, Beatriz Martinez-Bahena, Erika Yesenia Avila-Melgar, Martin Heriberto Cruz-Rosales
Publikováno v:
IEEE Access, Vol 8, Pp 117063-117079 (2020)
In this paper, a computational methodology combining the simulated annealing algorithm with two machine learning techniques to select a near-optimal safeguard set for business risk response is presented. First, a mathematical model with four types of
Externí odkaz:
https://doaj.org/article/24ba6df4c2484129a496f4a5ebc76c16
Autor:
Marco Antonio Cruz-Chavez, Martin H. Cruz Rosales, Jose Crispin Zavala-Diaz, Jose Alberto Hernandez Aguilar, Abelardo Rodriguez-Leon, Juan Carlos Prince Avelino, Martha Elena Luna Ortiz, Oscar H. Salinas
Publikováno v:
IEEE Access, Vol 7, Pp 82358-82376 (2019)
This paper presents a hybrid genetic algorithm with collective communication (HGACC) using distributed processing for the job shop scheduling problem. The genetic algorithm starts with a set of elite micro-populations created randomly, where the fitn
Externí odkaz:
https://doaj.org/article/c8c42585cc914b9ba290500cabb461c7
Autor:
Javier Arellano-Verdejo, Salvador Godoy-Calderon, Federico Alonso-Pecina, Adolfo Guzmán Arenas, Marco Antonio Cruz-Chavez
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 10, Iss 1 (2017)
In this paper a coarse-grain execution model for evolutionary algorithms is proposed and used for solving numerical and combinatorial optimization problems. This model does not use migration as the solution dispersion mechanism, in its place a more e
Externí odkaz:
https://doaj.org/article/f64beb80ffb246caaf35025911d8a1ae
Grid-Based Hybrid Genetic Approach to Relaxed Flexible Flow Shop with Sequence-Dependent Setup Times
Autor:
Erika Yesenia Avila Melgar, Marta Lilia Erana Diaz, Marco Antonio Cruz-Chavez, Martin H. Cruz-Rosales, Fredy Juarez-Perez, Rafael Rivera-Lopez
Publikováno v:
Applied Sciences; Volume 12; Issue 2; Pages: 607
Applied Sciences, Vol 12, Iss 607, p 607 (2022)
Applied Sciences, Vol 12, Iss 607, 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
Autor:
Marco Antonio Cruz-Chavez, Ocotlan Diaz-Parra, J.A. Hernandez, Jose Crispin Zavala-Diaz, Martin G. Martinez-Rangel
Publikováno v:
Electronics, Robotics and Automotive Mechanics Conference (CERMA 2007).
Autor:
Martín H. Cruz-Rosales, Marco Antonio Cruz-Chávez, Federico Alonso-Pecina, Jesus del C. Peralta-Abarca, Erika Yesenia Ávila-Melgar, Beatriz Martínez-Bahena, Juana Enríquez-Urbano
Publikováno v:
Applied Sciences, Vol 12, Iss 2, p 542 (2022)
This work presents a metaheuristic with distributed processing that finds solutions for an optimization model of the university course timetabling problem, where collective communication and point-to-point communication are applied, which are used to
Externí odkaz:
https://doaj.org/article/577e9d205cf948cebda465341f58f233
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:
Yainier Labrada-Nueva, Martin H. Cruz-Rosales, Juan Manuel Rendón-Mancha, Rafael Rivera-López, Marta Lilia Eraña-Díaz, Marco Antonio Cruz-Chávez
Publikováno v:
Mathematics, Vol 9, Iss 9, p 1033 (2021)
Paper waste in the mockups design with regular, irregular, and amorphous patterns is a critical problem in digital printing presses. Paper waste reduction directly impacts production costs, generating business and environmental benefits. This problem
Externí odkaz:
https://doaj.org/article/77ff16bdc9e640c0808a4465c28ce379
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:
Juana Enríquez-Urbano, Marco Antonio Cruz-Chávez, Rafael Rivera-López, Martín H. Cruz-Rosales, Yainier Labrada-Nueva, Marta Lilia Eraña-Díaz
Publikováno v:
Mathematics, Vol 9, Iss 7, p 748 (2021)
This work presents an optimization proposal to better the computational convergence time in convection-diffusion and driven-cavity problems by applying a simulated annealing (SA) metaheuristic, obtaining optimal values in relaxation factors (RF) that
Externí odkaz:
https://doaj.org/article/3d4b3d165d24454abdff02f4fbaee23e