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of 3
pro vyhledávání: '"Héctor Fraire-Huacuja"'
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
Autor:
Mercedes Perez-Villafuerte, Laura Cruz-Reyes, Nelson Rangel-Valdez, Claudia Gomez-Santillan, Héctor Fraire-Huacuja
Publikováno v:
Mathematical and Computational Applications, Vol 26, Iss 2, 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
Externí odkaz:
https://doaj.org/article/223167db00d84d3ba133ff2bc1bf42b7