Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Martin H. Cruz Rosales"'
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:
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
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:
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
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