Zobrazeno 1 - 10
of 616
pro vyhledávání: '"Carlos A. Coello-Coello"'
Autor:
Eduardo Fernandez, Jorge Navarro, Efrain Solares, Carlos A. Coello Coello, Raymundo Diaz, Abril Flores
Publikováno v:
IEEE Access, Vol 11, Pp 3044-3061 (2023)
Multicriteria sorting involves assigning the objects of decisions (actions) into $a$ priori known ordered classes considering the preferences of a decision maker (DM). Two new multicriteria sorting methods were recently proposed by the authors. These
Externí odkaz:
https://doaj.org/article/f913e25aa9f946118cb1c0b8abf0f857
Autor:
Joel Artemio Morales-Viscaya, Adán Antonio Alonso-Ramírez, Marco Antonio Castro-Liera, Juan Carlos Gómez-Cortés, David Lazaro-Mata, José Eleazar Peralta-López, Carlos A. Coello Coello, José Enrique Botello-Álvarez, Alejandro Israel Barranco-Gutiérrez
Publikováno v:
Symmetry, Vol 15, Iss 7, p 1417 (2023)
Fuzzy systems are widely used in most fields of science and engineering, mainly because the models they produce are robust, accurate, easy to evaluate and capture real-world uncertainty better than do the classical alternatives. We propose a new meth
Externí odkaz:
https://doaj.org/article/e8b0f3f1650e462eb4f9832abf4b4ddc
Autor:
Man-Fai Leung, Carlos Artemio Coello Coello, Chi-Chung Cheung, Sin-Chun Ng, Andrew Kwok-Fai Lui
Publikováno v:
IEEE Access, Vol 8, Pp 189527-189545 (2020)
Many existing Multi-objective Particle Swarm Optimizers (MOPSOs) may encounter difficulties for a set of good approximated solutions when solving problems with more than three objectives. One possible reason is that the diluted selection pressure cau
Externí odkaz:
https://doaj.org/article/e216377bd1e54bfa80a0f8cc0221bab1
Publikováno v:
SoftwareX, Vol 17, Iss , Pp 100961- (2022)
PyDDRBG is a Python framework for generating tunable test problems for static and dynamic multimodal optimization. It allows for quick and simple generation of a set of predefined problems for non-experienced users, as well as highly customized probl
Externí odkaz:
https://doaj.org/article/e3653a25333849659321c6ac8e672d73
Publikováno v:
Mathematical and Computational Applications, Vol 27, Iss 6, p 103 (2022)
NSGA-II is, by far, the most popular metaheuristic that has been adopted for solving multi-objective optimization problems. However, its most common usage, particularly when dealing with continuous problems, is circumscribed to a standard algorithmic
Externí odkaz:
https://doaj.org/article/e2ddce6e6a404b2987ddbffcb3656948
Autor:
Carlos A. Coello Coello, Silvia González Brambila, Josué Figueroa Gamboa, Ma Guadalupe Castillo Tapia, Raquel Hernández Gómez
Publikováno v:
Complex & Intelligent Systems, Vol 6, Iss 2, Pp 221-236 (2019)
Abstract Evolutionary multiobjective optimization has been a research area since the mid-1980s, and has experienced a very significant activity in the last 20 years. However, and in spite of the maturity of this field, there are still several importa
Externí odkaz:
https://doaj.org/article/8a5079d643eb4f81a3e289d53a80bfdb
Autor:
Adriana Menchaca-Mendez, Elizabeth Montero, Luis Miguel Antonio, Saul Zapotecas-Martinez, Carlos A. Coello Coello, Maria-Cristina Riff
Publikováno v:
IEEE Access, Vol 7, Pp 18267-18283 (2019)
Convergence and diversity of solutions play an essential role in the design of multi-objective evolutionary algorithms (MOEAs). Among the available diversity mechanisms, the $\epsilon $ -dominance has shown a proper balance between convergence and di
Externí odkaz:
https://doaj.org/article/ece314f911f2436d899969ed4f79b1c6
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 53:3284-3297
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86662bcfbe36c463f01cc10ae2d9ab5f
https://doi.org/10.1109/tsmc.2022.3221466
https://doi.org/10.1109/tsmc.2022.3221466
Publikováno v:
IEEE Transactions on Cybernetics. :1-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a81fbf886b0f8e050f0bb20389b266d7
https://doi.org/10.1109/tcyb.2023.3266241
https://doi.org/10.1109/tcyb.2023.3266241
Publikováno v:
Journal of Computer Science and Technology, Vol 20, Iss 1, Pp e01-e01 (2020)
This paper presents the artificial immune system IA_DED (Immune Algorithm Dynamic Economic Dispatch) to solve the Dynamic Economic Dispatch (DED) problem and the Dynamic Economic Emission Dispatch (DEED) problem. Our approach considers these as dyn
Externí odkaz:
https://doaj.org/article/51863661a9074de4b1d7824463c50225