@InProceedings{GouvêaSoteRamo:2013:MéQGOt,
author = "Gouv{\^e}a, {\'E}rica and Soterroni, Aline Cristina and Ramos,
Fernando Manuel",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "O m{\'e}todo q-GC para otimiza{\c{c}}{\~a}o global",
booktitle = "Anais...",
year = "2013",
organization = "Workshop dos Cursos de Computa{\c{c}}{\~a}o Aplicada do INPE,
13. (WORCAP)",
publisher = "INPE",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "Recently, based on Jackson's derivative, a generalization of the
classical steepest descent method, called the q-gradient (q-G)
method, has been proposed for solving global optimization
problems. Along similar lines, we introduce here the q-CG method,
a generalization of the well-known Conjugate-Gradient method using
the concept of q-gradient vector. For evaluating the performance
of this new method, we considered six commonly used 20-variable
test functions and compared our results with those obtained by the
q-G method and by three Genetic Algorithms (GAs) considered
effective in optimizing multidimensional problems. Overall, our
results show that the q-CG is a promising new method for solving
multimodal optimization problems.",
conference-location = "S{\~a}o Jos{\'e} dos Campos",
conference-year = "13-14 nov. 2013",
label = "lattes: 4896052217878979 1 SantosSantVija:2013:AlTrUM",
language = "pt",
ibi = "8JMKD3MGP3W/49N5UTH",
url = "http://urlib.net/ibi/8JMKD3MGP3W/49N5UTH",
targetfile = "Gouvea_metodo.pdf",
url = "http://www.lac.inpe.br/worcap2013/programacao.php",
urlaccessdate = "10 maio 2024"
}