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  • 标题:GPFIS-Control: A Genetic Fuzzy System For Control Tasks
  • 本地全文:下载
  • 作者:Adriano S. Koshiyama ; Marley M. B. R. Vellasco ; Ricardo Tanscheit
  • 期刊名称:Journal of Artificial Intelligence and Soft Computing Research
  • 电子版ISSN:2083-2567
  • 出版年度:2014
  • 卷号:4
  • 期号:3
  • 页码:167-179
  • DOI:10.1515/jaiscr-2015-0006
  • 出版社:Walter de Gruyter GmbH
  • 摘要: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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