Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Jonas Velasco"'
Publikováno v:
IEOM South American Conference Proceedings; 5/9/2023, p160-169, 10p
Publikováno v:
Computación y Sistemas. 24
The management of human and physical resources of a university is a complex additive activity because in many cases the number of variables to be considered are many, which produces errors of the decision maker. Deciding in which classrooms the cours
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2d6df6ad258bc9e04de2860e7f55d2b
https://doi.org/10.13053/cys-24-1-3191
https://doi.org/10.13053/cys-24-1-3191
Publikováno v:
Infrastructures, Vol 9, Iss 9, p 157 (2024)
The Pavement Condition Index (PCI) is a prevalent metric for assessing the condition of rigid pavements. The PCI calculation involves evaluating 19 types of damage. This study aims to analyze how different types of damage impact the PCI calculation a
Externí odkaz:
https://doaj.org/article/c5f916fa00c240b7a41e50e3585c8074
Publikováno v:
Safety, Vol 10, Iss 1, p 28 (2024)
Work–Family Integration (WFI) is the decision-making process that enables an individual to effectively balance work, family, and personal responsibilities, generating a level of personal satisfaction aligned with the management of these demands. Th
Externí odkaz:
https://doaj.org/article/4356ef22956940ff94285c39d05e9174
Publikováno v:
PLoS ONE, Vol 18, Iss 11, p e0289130 (2023)
Creating robust and explainable statistical learning models is essential in credit risk management. For this purpose, equally spaced or frequent discretization is the de facto choice when building predictive models. The methods above have limitations
Externí odkaz:
https://doaj.org/article/ad404676c7504d41a4884a70b2e7a67b
Autor:
Jonas Velasco, Mario A. Saucedo-Espinosa, Hugo Jair Escalante, Karlo Mendoza, César E. Villarreal-Rodríguez, Óscar L. Chacón-Mondragón, Arturo Berrones
Publikováno v:
Universidad Autónoma de Nuevo León
UANL
Redalyc-UANL
UANL
Redalyc-UANL
Adaptive Gibbs Sampling (AGS) algorithm is a new heuristic for unconstrained global optimization. AGS algorithm is a population-based method that uses a random search strategy to generate a set of new potential solutions. Random search combines the o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0020dd4fe2558bb5719481e841d9a6b9
http://www.redalyc.org/articulo.oa?id=61531305003
http://www.redalyc.org/articulo.oa?id=61531305003
Autor:
Jonas Velasco Alvarez, Ivan Cruz Aceves, Ricardo Perez Rodriguez, S Jöns, Arturo Hernández Aguirre, Jorge Raul Perez Gallardo
Publikováno v:
DYNA NEW TECHNOLOGIES. 3:13 p.-13 p.
El problema de enrutamiento de autobuses escolares con seleccion de paradas trata de planificar de manera eficiente una flota de autobuses escolares que recogen estudiantes desde diversas paradas para llevarlos a su escuela. Este problema tiene tres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f40f39e6ec62b18048223f3b9cac0c29
https://doi.org/10.6036/nt8118
https://doi.org/10.6036/nt8118
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540886358
MICAI 2008: Advances in Artificial Intelligence
MICAI 2008: Advances in Artificial Intelligence
In this paper we introduce QuBIS an (in)complete solver for quantified Boolean formulas (QBFs). The particularity of QuBIS is that it is not inherently incomplete, but it has the ability to surrender upon realizing that its deduction mechanism is bec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66795261102a1d7a90afd3e7bbb03b3c
https://doi.org/10.1007/978-3-540-88636-5
https://doi.org/10.1007/978-3-540-88636-5
Publikováno v:
Axioms, Vol 11, Iss 7, p 318 (2022)
In agriculture, the soil properties influence the productivity and quality of crops. The farmer expects that in a specific area of the land, the physicochemical characteristics of the soil will be homogeneous as the selected crop has the desired qual
Externí odkaz:
https://doaj.org/article/b027d13efc6a4ab1ba547d181727d686
Publikováno v:
PLoS ONE, Vol 12, Iss 2, p e0172459 (2017)
This paper presents an adaptive random search approach to address a short term generation scheduling with network constraints, which determines the startup and shutdown schedules of thermal units over a given planning horizon. In this model, we consi
Externí odkaz:
https://doaj.org/article/362e9124e4b6403e86d7b890a7fdd32e