GPFIS-Control: A fuzzy Genetic model for Control tasks

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Koshiyama:2014:FUZZ-IEEE,

• author = "A. S. Koshiyama and T. Escovedo and M. M. B. R. Vellasco and R. Tanscheit",
• booktitle = "IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2014)",
• title = "GPFIS-Control: A fuzzy Genetic model for Control tasks",
• year = "2014",
• month = jul,
• pages = "1953--1959",
• 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.",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/FUZZ-IEEE.2014.6891733",
• notes = "Also known as \cite{6891733}",

}

Genetic Programming entries for Adriano Soares Koshiyama Tatiana Escovedo Marley Maria Bernardes Rebuzzi Vellasco Ricardo Tanscheit

Citations