Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Héctor J. Fraire"'
Autor:
Juan Carlos Hernández-Marín, Claudia Gómez-Santillán, Héctor J. Fraire-Huacuja, María Lucila Morales-Rodríguez, Laura Cruz-Reyes, Nelson Rangel-Valdez
Publikováno v:
International Journal of Fuzzy Systems. 22:2747-2759
In decision-making, the multiobjective portfolio selection problem (MPSP) consists of the selection of alternatives based on preferences of a particular decision-maker (DM). In real-world applications, MPSP has several conflicting criteria that DMs m
Autor:
Héctor J. Fraire-Huacuja, Laura Cruz-Reyes, Claudia Gómez-Santillán, Nelson Rangel, Eduardo Del Ángel-Martínez, Carlos Soto
Publikováno v:
Research in Computing Science. 148:331-343
Autor:
Claudia Gómez Santillán, J. David Terán-Villanueva, Julio Laria Menchaca, Laura Cruz-Reyes, Salvador Ibarra Martínez, Héctor J. Fraire-Huacuja, José Antonio Castán Rocha
Publikováno v:
Information Sciences. 478:62-82
The vertex bisection problem splits a graph G = ( V , E ) into two sets, L ⊆ V , | L | = ⌊ | V | / 2 ⌋ and R = V ∖ L , such that it minimizes the number of vertices in L connected to R. This problem is a combinatorial NP-hard problem with rel
Autor:
Héctor J. Fraire, Antonio J. Nebro, Bernabé Dorronsoro, Oscar Castillo, Juan J. Durillo, Alejandro Santiago
Publikováno v:
Information Sciences. 471:233-251
We propose a new method for multi-objective optimization, called Fuzzy Adaptive Multi-objective Evolutionary algorithm (FAME). It makes use of a smart operator controller that dynamically chooses the most promising variation operator to apply in the
Autor:
Claudia Gómez-Santillán, Nelson Rangel-Valdez, Laura Cruz-Reyes, Teodoro Macias-Escobar, César Medina-Trejo, Héctor J. Fraire-Huacuja
Publikováno v:
Mathematical and Computational Applications
Volume 26
Issue 2
Mathematical and Computational Applications, Vol 26, Iss 35, p 35 (2021)
Volume 26
Issue 2
Mathematical and Computational Applications, Vol 26, Iss 35, p 35 (2021)
The decision-making process can be complex and underestimated, where mismanagement could lead to poor results and excessive spending. This situation appears in highly complex multi-criteria problems such as the project portfolio selection (PPS) probl
Autor:
Laura Cruz-Reyes, Claudia Gómez-Santillán, Nelson Rangel-Valdez, Mercedes Perez-Villafuerte, Héctor J. Fraire-Huacuja
Publikováno v:
Mathematical and Computational Applications
Volume 26
Issue 2
Mathematical and Computational Applications, Vol 26, Iss 28, p 28 (2021)
Volume 26
Issue 2
Mathematical and Computational Applications, Vol 26, Iss 28, p 28 (2021)
Many real-world optimization problems involving several conflicting objective functions frequently appear in current scenarios and it is expected they will remain present in the future. However, approaches combining multi-objective optimization with
Autor:
Claudia Gómez-Santillán, Héctor J. Fraire-Huacuja, María Lucila Morales-Rodríguez, Laura Cruz-Reyes, Alejandro Estrada Padilla, Nelson Rangel-Valdez
Publikováno v:
Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms: Theory and Applications ISBN: 9783030687755
Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms
Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms
In this paper, we approach the Multi-Objective Portfolio Optimization Problem with trapezoidal fuzzy parameters. As to the best of our knowledge, there are not reports of this version of the problem. In this work, a formulation of the problem and a s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a6f879683f173caae654948d88f80e1
https://doi.org/10.1007/978-3-030-68776-2_17
https://doi.org/10.1007/978-3-030-68776-2_17
Autor:
Héctor J. Fraire-Huacuja, Claudia Gómez-Santillán, Lucila Morales-Rodriguez, Juan Gerardo Ponce-Najera, Luis Rodolfo García-Nieto, Nelson Rangel-Valdez, Laura Cruz-Reyes
Publikováno v:
Computational Intelligence for Business Analytics ISBN: 9783030738181
At present the analysis of the algorithms is a necessary process, especially algorithms that solve difficult problems in the daily life; Since the analysis of algorithms helps to give explanations of the performance and to understand the behavior of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::219820cbc099f46081e83579600cdc6f
https://doi.org/10.1007/978-3-030-73819-8_8
https://doi.org/10.1007/978-3-030-73819-8_8
Autor:
Bernabé Dorronsoro, Eduardo Del Ángel-Martínez, Laura Cruz-Reyes, Nelson Rangel, Héctor J. Fraire-Huacuja, Carlos Soto
Publikováno v:
Expert Systems with Applications. 190:116169
In this paper, we address the exact solution of the vertex bisection problem (VBP). We propose two novel B&B algorithms to solve VBP, which include new upper and lower bound constructive heuristics, and an efficient strategy to explore the combinator
Application of population evolvability in a hyper-heuristic for dynamic multi-objective optimization
Autor:
Laura Cruz-Reyes, Bernabé Dorronsoro, Nelson Rangel-Valdez, Héctor J. Fraire-Huacuja, Claudia Gómez-Santillán, Teodoro Macias-Escobar
Publikováno v:
Technological and Economic Development of Economy; Vol 25 No 5 (2019); 951-978
Technological and Economic Development of Economy (2019)
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