Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Nelson Rangel-Valdez"'
Autor:
Mónica Fabiola Briones-Báez, Luciano Aguilera-Vázquez, Nelson Rangel-Valdez, Cristal Zuñiga, Ana Lidia Martínez-Salazar, Claudia Gomez-Santillan
Publikováno v:
Algorithms, Vol 17, Iss 8, p 336 (2024)
Flux Balance Analysis (FBA) is a constraint-based method that is commonly used to guide metabolites through restricting pathways that often involve conditions such as anaplerotic cycles like Calvin, reversible or irreversible reactions, and nodes whe
Externí odkaz:
https://doaj.org/article/4dacfc521c6f47d2919d7028fdb6f3d8
Autor:
Manuel Vargas-Martínez, Nelson Rangel-Valdez, Eduardo Fernández, Claudia Gómez-Santillán, Gilberto Rivera, Fausto Balderas
Publikováno v:
SoftwareX, Vol 25, Iss , Pp 101610- (2024)
In recent years, many-objective optimization problems (MaOPs) have been challenging. Classically, algorithms obtain first the Pareto front (PF). Next, a decision maker (DM) can choose the best solutions according to their preferences in the region of
Externí odkaz:
https://doaj.org/article/df9fc819bfd24df4952b95634c56d381
Autor:
Manuel Vargas-Martínez, Nelson Rangel-Valdez, Eduardo Fernández, Claudia Gómez-Santillán, María Lucila Morales-Rodríguez
Publikováno v:
Mathematical and Computational Applications, Vol 28, Iss 2, p 38 (2023)
Simulated annealing is a metaheuristic that balances exploration and exploitation to solve global optimization problems. However, to deal with multi- and many-objective optimization problems, this balance needs to be improved due to diverse factors s
Externí odkaz:
https://doaj.org/article/2ec329fef39c450d8b9472db002861e3
Autor:
Monica Fabiola Briones-Baez, Luciano Aguilera-Vazquez, Nelson Rangel-Valdez, Ana Lidia Martinez-Salazar, Cristal Zuñiga
Publikováno v:
Metabolites, Vol 12, Iss 7, p 603 (2022)
Studies enabled by metabolic models of different species of microalgae have become significant since they allow us to understand changes in their metabolism and physiological stages. The most used method to study cell metabolism is FBA, which commonl
Externí odkaz:
https://doaj.org/article/aad9978727b14afca87e8558ee0e2992
Autor:
Jorge Castro-Rivera, María Lucila Morales-Rodríguez, Nelson Rangel-Valdez, Claudia Gómez-Santillán, Luciano Aguilera-Vázquez
Publikováno v:
Axioms, Vol 11, Iss 5, p 232 (2022)
Satisfaction is relevant for decision makers (DM, Decision Makers). Satisfaction is the feeling produced in individuals by executing actions to satisfy their needs, for example, the payment of debts, jobs, or academic achievements, and the acquisitio
Externí odkaz:
https://doaj.org/article/5dd805271e9842a8b3d1021d1ccad328
Publikováno v:
Applied Sciences, Vol 12, Iss 9, p 4569 (2022)
In combinatorial optimization, the more complex a problem is, the more challenging it becomes, usually causing most research to focus on creating solvers for larger cases. However, real-life situations also contain small-sized instances that deserve
Externí odkaz:
https://doaj.org/article/24b721cd913644309af6adff3bd81ff8
Autor:
Alejandro Castellanos, Laura Cruz-Reyes, Eduardo Fernández, Gilberto Rivera, Claudia Gomez-Santillan, Nelson Rangel-Valdez
Publikováno v:
Mathematics, Vol 10, Iss 3, p 322 (2022)
This paper introduces a strategy to enrich swarm intelligence algorithms with the preferences of the Decision Maker (DM) represented in an ordinal classifier based on interval outranking. Ordinal classification is used to bias the search toward the R
Externí odkaz:
https://doaj.org/article/e882f9ee3cde47ef843789be4a17bf2e
Publikováno v:
Applied Sciences, Vol 11, Iss 10, p 4575 (2021)
This paper addresses group multi-objective optimization under a new perspective. For each point in the feasible decision set, satisfaction or dissatisfaction from each group member is determined by a multi-criteria ordinal classification approach, ba
Externí odkaz:
https://doaj.org/article/21119ae625164e5fba71fec2dfcdba50
Application of population evolvability in a hyper-heuristic for dynamic multi-objective optimization
Autor:
Teodoro Macias-Escobar, Laura Cruz-Reyes, Bernabé Dorronsoro, Héctor Fraire-Huacuja, Nelson Rangel-Valdez, Claudia Gómez-Santillán
Publikováno v:
Technological and Economic Development of Economy (2019)
It is important to know the properties of an optimization problem and the difficulty an algorithm faces to solve it. Population evolvability obtains information related to both elements by analysing the probability of an algorithm to improve current
Externí odkaz:
https://doaj.org/article/804ab6a7bdf7420286e114b9ecc1bad8
Autor:
Eduardo Fernandez, Nelson Rangel-Valdez, Laura Cruz-Reyes, Claudia Gomez-Santillan, Gilberto Rivera-Zarate, Patricia Sanchez-Solis
Publikováno v:
Technological and Economic Development of Economy (2019)
Most evolutionary multi-objective algorithms perform poorly in many objective problems. They normally do not make selective pressure towards the Region of Interest (RoI), the privileged zone in the Pareto frontier that contains solutions important to
Externí odkaz:
https://doaj.org/article/ae7d901df6f24d268b06454afd129043