Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Teodoro Macias-Escobar"'
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:
Teodoro Macias-Escobar, Laura Cruz-Reyes, César Medina-Trejo, Claudia Gómez-Santillán, Nelson Rangel-Valdez, Héctor Fraire-Huacuja
Publikováno v:
Mathematical and Computational Applications, Vol 26, Iss 2, 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
Externí odkaz:
https://doaj.org/article/05f6d5f6dc58418294fd4fb8d444164c
Publikováno v:
Future Generation Computer Systems. 110:864-875
Dynamic optimization multi-objective problems (DMOPs) are characterized by the environmental changes they experiment . For these problems, optimization algorithms have limited time to find accurate results before every change. A common scenario in op
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c7d9316cf950b1d0a58ac82192b4ed4
https://doi.org/10.1016/j.future.2019.10.039
https://doi.org/10.1016/j.future.2019.10.039
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::933668204f21aa33b889d13a09ec5b2d
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
The study of dynamic multi-objective optimization problems (DMOP) is an area that has recently been receiving increased attention from researchers. Within the literature, various alternatives have been proposed to solve DMOPs, among them are the dyna
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d228cc764e9df16a0b5f5f38b7bd4b8
https://doi.org/10.1007/978-3-030-68776-2_18
https://doi.org/10.1007/978-3-030-68776-2_18
Autor:
Claudia Gómez-Santillán, Teodoro Macias-Escobar, Nelson Rangel-Valdez, Bernabé Dorronsoro, Laura Cruz-Reyes
Publikováno v:
Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications ISBN: 9783030354442
Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms
Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms
Dynamic optimization problems have attracted the attention of researchers due to their wide variety of challenges and their suitability for real-world problems. The application of hyper-heuristics to solve optimization problems is another area that h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::396b940c00a4d91f55cd0346bc8a893a
https://doi.org/10.1007/978-3-030-35445-9_33
https://doi.org/10.1007/978-3-030-35445-9_33
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46b9a0bdb9b4dcd67ab5d79aa619c0b4
http://journals.vgtu.lt/index.php/TEDE/article/view/10291
http://journals.vgtu.lt/index.php/TEDE/article/view/10291