Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Marcus Henrique Soares Mendes"'
Publikováno v:
Biblioteca Digital de Teses e Dissertações da UFMGUniversidade Federal de Minas GeraisUFMG.
The real-world multi-objective optimization problems may be subjected to uncertainties which are often impossible to be avoided in practice. Hence, there is the possibility that a small uncertainty becomes a numerical optimal solution obtained for a
Externí odkaz:
http://hdl.handle.net/1843/BUBD-9P8GFZ
Publikováno v:
IEEE Latin America Transactions. 19:1225-1232
In order to be able to implement a solution to a real world problem, it must be solved taking into account the uncertainties in the associated model. In fact, there is a possibility that the action of a small uncertainty on a nominal solution obtaine
Publikováno v:
Intelligent Systems ISBN: 9783030917012
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::148432a0506d34d0de21bc6c3465830d
https://doi.org/10.1007/978-3-030-91702-9_16
https://doi.org/10.1007/978-3-030-91702-9_16
Autor:
Alexei Manso Correa Machado, Marcus Henrique Soares Mendes, Thiago Melo Machado-Coelho, Petr Iakovlevitch Ekel, Matheus Pereira Libório, Gustavo Luís Soares, José Gregório de Figueiredo Rosa
Publikováno v:
Anais do Congresso Brasileiro de Automática 2020.
A previsão do consumo de eletricidade é essencial para as concessionárias de distribuição de energia elétrica uma vez que pode auxiliar, principalmente, nas decisões relacionadas ao core business dessas empresas. Este trabalho apresenta modelo
Publikováno v:
IEEE Latin America Transactions. 15:1474-1479
Real-world problems are often composed of multiple interdependent components. In this case, benchmark problems that do not represent that interdependency are not a good choice to assess algorithm performance. In recently literature, a benchmark probl
Publikováno v:
Evolutionary Computation in Combinatorial Optimization ISBN: 9783319554525
EvoCOP
EvoCOP
Real-world problems are often composed of multiple interdependent components. In this case, benchmark problems that do not represent that interdependence are not a good choice to assess algorithm performance. In recent literature, a benchmark problem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60d4d2f262a0d77614b9aabaaaf190d3
https://doi.org/10.1007/978-3-319-55453-2_2
https://doi.org/10.1007/978-3-319-55453-2_2
Autor:
Marcus Henrique Soares Mendes, João A. Vasconcelos, Carlos Henrique Nogueira de Resende Barbosa
Publikováno v:
Repositório Institucional da UFOP
Universidade Federal de Ouro Preto (UFOP)
instacron:UFOP
Universidade Federal de Ouro Preto (UFOP)
instacron:UFOP
Distribution feeder reconfiguration has been an active field of research for many years. Some recent theoretical studies have highlighted the importance of smart reconfiguration for the operating conditions of such radial networks. In general, this p
Publikováno v:
IEEE Transactions on Magnetics. 49:1993-1996
Simulations are successfully utilized to reproduce the behavior of complex systems in many knowledge fields. The computational effort is a key factor when high-cost simulations are required in optimization, principally, if the system to be optimized
Publikováno v:
IEEE Transactions on Magnetics. 49:2065-2068
A common drawback of robust optimization methods is the effort expended to compute the influence of uncertainties, because the objective and constraint functions must be re-evaluated many times. This disadvantage can be aggravated if time-consuming m
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642172977
SEAL
SEAL
This paper describes an algorithm that generates analytic functions for PID step response characteristics (i. e. rise time, overshoot, settling time, peak time and integral of time weighted absolute error) in an application of a third-order plant. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2db8322739026b6f6e38b06569558f93
https://doi.org/10.1007/978-3-642-17298-4_37
https://doi.org/10.1007/978-3-642-17298-4_37