Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Martín H. Cruz-Rosales"'
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:
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
Autor:
Marco Antonio Cruz-Chávez, Pedro Moreno-Bernal, Rafael Rivera-López, Erika Yesenia Ávila-Melgar, Beatriz Martínez-Bahena, Martín H. Cruz-Rosales
Publikováno v:
Applied Sciences, Vol 10, Iss 18, p 6190 (2020)
Planning corridors for new facilities such as pipeline or transmission lines through geographical spaces is a topographical constraint optimization problem. The corridor planning problem requires finding an optimal route or a set of alternative paths
Externí odkaz:
https://doaj.org/article/1cc1019f595043d0a4b5d15bae240e32
Autor:
Marco Antonio Cruz-Chávez, Abelardo Rodríguez-León, Rafael Rivera-López, Martín H. Cruz-Rosales
Publikováno v:
Applied Sciences, Vol 9, Iss 18, p 3656 (2019)
This paper describes one grid-based genetic algorithm approach to solve the vehicle routing problem with time windows in one experimental cluster MiniGrid. Clusters used in this approach are located in two Mexican cities (Cuernavaca and Jiutepec, Mor
Externí odkaz:
https://doaj.org/article/89bfa8e119eb42c4b7f10c9b687a88df
Publikováno v:
Applied Sciences, Vol 9, Iss 16, p 3360 (2019)
This paper presents a parallel algorithm applied to the job shop scheduling problem (JSSP). The algorithm generates a set of threads, which work in parallel. Each generated thread, executes a procedure of simulated annealing which obtains one solutio
Externí odkaz:
https://doaj.org/article/4faac5d3cdd24d58a30a89045c3148f3
Autor:
Marta Lilia Eraña-Díaz, Beatriz Martínez-Bahena, Erika Yesenia Ávila-Melgar, Martín H. Cruz-Rosales, Rafael Rivera-López, Marco Antonio Cruz-Chávez
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7153574cde77fc952799c9798913aa2
https://ieeexplore.ieee.org/document/9125878/
https://ieeexplore.ieee.org/document/9125878/
Autor:
Erika Yesenia Avila-Melgar, Marco Antonio Cruz-Chávez, Beatriz Martínez-Bahena, Marta Lilia Eraña-Díaz, Martín H. Cruz-Rosales
Publikováno v:
Applied Soft Computing. 135:109986
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::432c5c0da59946c7f762015f7957a47f
https://doi.org/10.1016/j.asoc.2023.109986
https://doi.org/10.1016/j.asoc.2023.109986
Autor:
Rafael Rivera-López, Juan Manuel Rendón-Mancha, Marco Antonio Cruz-Chávez, Yainier Labrada-Nueva, Marta Lilia Eraña-Díaz, Martín H. Cruz-Rosales
Publikováno v:
Mathematics, Vol 9, Iss 1033, p 1033 (2021)
Mathematics
Volume 9
Issue 9
Mathematics
Volume 9
Issue 9
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::0bb36799805de9666b8deba7089e10ef
https://www.mdpi.com/2227-7390/9/9/1033
https://www.mdpi.com/2227-7390/9/9/1033
Autor:
Marco Antonio Cruz-Chávez, Rosenberg J. Romero, Sergio Alonso Serna-Barquera, Jazmin Yanel Juarez-Chavez, Bernardo Fabián Campillo-Illanes, Martín H. Cruz-Rosales
Publikováno v:
Materials Science and Engineering: A. 721:65-73
This paper presents two algorithms, Simulated Annealing and Iterated Local Search. Both metaheuristics use a neighborhood hybrid structure to evaluate their effectiveness and maximize the mechanical strength of microalloyed steel. Tests show that the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f607237e920b267237a144ba1be1d681
https://doi.org/10.1016/j.msea.2018.02.076
https://doi.org/10.1016/j.msea.2018.02.076