Evolving Takagi-Sugeno-Kang Fuzzy Systems using Multi Population Grammar-Guided Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8120

@InProceedings{conf/ijcci/TsakonasG11,

• author = "Athanasios Tsakonas and Bogdan Gabrys",
• title = "Evolving Takagi-Sugeno-Kang Fuzzy Systems using Multi Population Grammar-Guided Genetic Programming",
• booktitle = "Proceedings of the International Conference on Evolutionary Computation Theory and Applications and the Proceedings of the International Conference on Fuzzy Computation Theory and Applications [parts of the International Joint Conference on Computational Intelligence (IJCCI (ECTA-FCTA) 2011)",
• year = "2011",
• editor = "Agostinho C. Rosa and Janusz Kacprzyk and Joaquim Filipe and Antonio Dourado Correia",
• pages = "278--281",
• address = "Paris, France",
• month = "24-26 " # oct,
• publisher = "SciTePress",
• keywords = "genetic algorithms, genetic programming, fuzzy rule based systems, evolutionary computation:poster",
• isbn13 = "978-989-8425-83-6",
• URL = "http://eprints.bournemouth.ac.uk/18460/1/Tsak%2DGabr%2DECTA%2D2011%2DCamRdy.pdf",
• URL = "http://eprints.bournemouth.ac.uk/18460/",
• URL = "http://dblp.l3s.de/d2r/page/publications/conf/ijcci/TsakonasG11",
• size = "4 pages",
• abstract = "This work proposes a novel approach for the automatic generation and tuning of complete Takagi-Sugeno-Kang fuzzy rule based systems. The examined system aims to explore the effects of a reduced search space for a genetic programming framework by means of grammar guidance that describes candidate structures of fuzzy rule based systems. The presented approach applies context-free grammars to generate individuals and evolve solutions through the search process of the algorithm. A multi-population approach is adopted for the genetic programming system, in order to increase the depth of the search process. Two candidate grammars are examined in one regression problem and one system identification task. Preliminary results are included and discussion proposes further research directions.",
• notes = "ECTA http://www.ecta.ijcci.org/ http://www.ijcci.org/IJCCI2011/",
• bibdate = "2012-05-03",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/ijcci/ijcci2011-2.html#TsakonasG11",

}

Genetic Programming entries for Athanasios D Tsakonas Bogdan Gabrys

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