Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Gustavo Henrique Flores Caldas"'
Autor:
Joana D'Arc Ramos Lopes Gomes, Mara Lucia de Lara Costa, Rogério dos Santos Gomes, Evaldo Luiz Correa da Costa, Zieli Dutra Thomé Filho, Gustavo Henrique Flores Caldas
Publikováno v:
Brazilian Journal of Radiation Sciences, Vol 7, Iss 2A (2019)
There are several hundred of nucleonic gauges installed in at least 500 industrial facilities in Brazil. In recent years, several standards have been issued by different international committees in order to specify requirements for the design of nucl
Externí odkaz:
https://doaj.org/article/72bc9ec889964d32b34f4a3dcfeb4399
Publikováno v:
Advances in Evolutionary Algorithms
The purpose of this chapter is to describe a new algorithm named FPBIL (parameter-Free PBIL), an evolution of PBIL (Population-Based Incremental Learning). FPBIL, as well as PBIL (Baluja, 1994), Genetic Algorithms (GAs) (Holland, 1992) and others are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9e72f5418b6d11e1ca5d8f383a27d25
http://www.intechopen.com/articles/show/title/fpbil__a_parameter-free_evolutionary_algorithm
http://www.intechopen.com/articles/show/title/fpbil__a_parameter-free_evolutionary_algorithm
Autor:
Rogério dos Santos Gomes, Mara Lucia de Lara Costa, Evaldo Luiz Correa da Costa, Joana D'Arc Ramos Lopes Gomes, Gustavo Henrique Flores Caldas, Zieli Dutra Thomé Filho
Publikováno v:
Brazilian Journal of Radiation Sciences. 7
There are several hundred of nucleonic gauges installed in at least 500 industrial facilities in Brazil. In recent years, several standards have been issued by different international committees in order to specify requirements for the design of nucl
Publikováno v:
Annals of Nuclear Energy. 35:583-590
In this work, an evolutionary algorithm with no parameters called FPBIL (parameter free PBIL) is developed based on PBIL (population-based incremental learning). Moreover, the analysis reveals how the parameters from PBIL can be replaced by self-adap
Autor:
Cláudio Márcio do Nascimento Abreu Pereira, Gustavo Henrique Flores Caldas, Roberto P. Domingos, Roberto Schirru
Publikováno v:
Applied Soft Computing. 3:317-323
This work proposes the use of genetic programming (GP) for automatic design of a fuzzy expert system aimed to provide the control of axial xenon oscillations in pressurized water reactors (PWRs). The control methodology is based on three axial offset