Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Martin H. Cruz-Rosales"'
Autor:
Federico Alonso-Pecina, Irma Yazmín Hérnandez-Báez, Roberto Enrique López-Díaz, Martin H. Cruz-Rosales
Publikováno v:
Mathematics, Vol 12, Iss 7, p 991 (2024)
We address an inventory-routing problem that arises in a liquid oxygen-producing company. Decisions must be made for the efficient transport of the product from sources to destinations by means of a heterogeneous fleet of trucks. This combinatorial p
Externí odkaz:
https://doaj.org/article/ee45f2174700453da3d643213f39362d
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
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f2b7e171d67e5f0aa36d9b0bc0ad945
Autor:
Martin H. Cruz Rosales, Martha E. Luna Ortíz, Oscar Salinas, José Crispín Zavala-Díaz, Marco Antonio Cruz-Chávez, Abelardo Rodriguez-Leon, José Alberto Hernández Aguilar, Juan Carlos Prince Avelino
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::21ece4449bfa16095921a614cd54bae2
https://ieeexplore.ieee.org/document/8743353/
https://ieeexplore.ieee.org/document/8743353/
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