Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Yailen Martínez-Jiménez"'
Publikováno v:
Procedia CIRP. 106:227-232
Autor:
Yunior César Fonseca Reyna, Yailen Martínez Jiménez, Ángel Enrique Figueredo León, Luis Alberto Pernía Nieves
Publikováno v:
Revista Cubana de Ciencias Informáticas, Vol 8, Iss 1, Pp 99-111 (2014)
There are different suggested values to adapt the basic parameters of a Genetic Algorithm, however, these values may not be the optimal for all kinds of applications. The following research presents a metaheuristic based on a Genetic Algorithm to sol
Externí odkaz:
https://doaj.org/article/d69ec848715646539ed199803bc6aa8e
Autor:
Gladys Casas Cardoso, L. Hernández, Yailen Martínez-Jiménez, Alejandro Morales Hernández, María Matilde García Lorenzo
Publikováno v:
Computación y Sistemas. 25
In supervised pattern classification, it often happens that a single individual classifier is not able to meet the requirements of the problem. This is the main reason that leads to the successful use of systems composed of several classifiers (class
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030419127
OLA
OLA
The emergence of Industry 4.0 allows for new approaches to solve industrial problems such as the Job Shop Scheduling Problem. It has been demonstrated that Multi-Agent Reinforcement Learning approaches are highly promising to handle complex schedulin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61fb441e63573cc5cbc2cc4c65b8e5c4
https://doi.org/10.1007/978-3-030-41913-4_1
https://doi.org/10.1007/978-3-030-41913-4_1
Autor:
Yailen Martínez-Jiménez, Beatriz M. Méndez-Hernández, Ann Nowé, Pieter Libin, Erick D. Rodríguez-Bazan
Publikováno v:
Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation ISBN: 9783030304867
ICANN (1)
ICANN (1)
Scheduling is a decision making process that takes care of the allocation of resources to tasks over time. The Job Shop scheduling problem is one of the most complex scheduling scenarios and is commonly encountered in manufacturing industries. Most o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0135961778bc2421aef744a7d0860f16
https://hdl.handle.net/20.500.14017/b5427c7d-b26d-45c8-ad17-3690c92d55d9
https://hdl.handle.net/20.500.14017/b5427c7d-b26d-45c8-ad17-3690c92d55d9
Autor:
Ann Nowé, Beatriz M. Méndez-Hernández, Yailen Martínez Jiménez, Erick Rodriguez Bazan, Jessica Coto Palacio
Publikováno v:
Progress in Artificial Intelligence and Pattern Recognition ISBN: 9783030011314
IWAIPR
IWAIPR
Scheduling problems appear on a regular basis in many real life situations, whenever it is necessary to allocate resources to perform tasks, optimizing one or more objective functions. Depending on the problem being solved, these tasks can take diffe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5442c277bd9ee37807650fe43a84fb04
https://doi.org/10.1007/978-3-030-01132-1_26
https://doi.org/10.1007/978-3-030-01132-1_26
Publikováno v:
Vrije Universiteit Brussel
Flow Shop Scheduling Problems circumscribes an important class of sequencing problems in the field of production planning. The problem considered here is to find a permutation of jobs to be sequentially processed on a number of machines under the res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a0d46eb4cae6f5cca037318ac672c1bc
https://biblio.vub.ac.be/vubir/qlearning-algorithm-performance-for-mmachine-njobs-flow-shop-scheduling-problems-to-minimize-makespan(53d6dcd8-c774-4089-a90f-90311bebac34).html
https://biblio.vub.ac.be/vubir/qlearning-algorithm-performance-for-mmachine-njobs-flow-shop-scheduling-problems-to-minimize-makespan(53d6dcd8-c774-4089-a90f-90311bebac34).html
Autor:
Méndez-Hernández, Beatriz M., Yailen Martínez-Jiménez, Erick Rodríguez-Bazan, Pieter Libin, Ann Nowe
Publikováno v:
CIÊNCIAVITAE
Vrije Universiteit Brussel
Vrije Universiteit Brussel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5516849234be3d6339218f4dfbf24550
https://researchportal.vub.be/en/publications/3a758c1e-31ba-40d3-8143-843bd189ce33
https://researchportal.vub.be/en/publications/3a758c1e-31ba-40d3-8143-843bd189ce33