GPFIS-Control: A fuzzy Genetic model for Control tasks
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- @InProceedings{Koshiyama:2014:FUZZ-IEEE,
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author = "A. S. Koshiyama and T. Escovedo and
M. M. B. R. Vellasco and R. Tanscheit",
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booktitle = "IEEE International Conference on Fuzzy Systems
(FUZZ-IEEE 2014)",
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title = "GPFIS-Control: A fuzzy Genetic model for Control
tasks",
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year = "2014",
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month = jul,
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pages = "1953--1959",
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abstract = "This work presents a Genetic Fuzzy Controller (GFC),
called Genetic Programming Fuzzy Inference System for
Control tasks (GPFIS-Control). It is based on
Multi-Gene Genetic Programming, a variant of canonical
Genetic Programming. The main characteristics and
concepts of this approach are described, as well as its
distinctions from other GFCs. Two benchmarks
application of GPFIS-Control are considered: the
Cart-Centering Problem and the Inverted Pendulum. In
both cases results demonstrate the superiority and
potentialities of GPFIS-Control in relation to other
GFCs found in the literature.",
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keywords = "genetic algorithms, genetic programming",
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DOI = "doi:10.1109/FUZZ-IEEE.2014.6891733",
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notes = "Also known as \cite{6891733}",
- }
Genetic Programming entries for
Adriano Soares Koshiyama
Tatiana Escovedo
Marley Maria Bernardes Rebuzzi Vellasco
Ricardo Tanscheit
Citations