GPFIS-Control: A fuzzy Genetic model for Control tasks

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  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
  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