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Meta-Heuristic Optimization of a Fuzzy Character Recognizer

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Fifty Years of Fuzzy Logic and its Applications

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 326))

Abstract

Meta-heuristic algorithms are well researched and widely used in optimization problems. There are several meta-heuristic optimization algorithms with various concepts and each has its own advantages and disadvantages. Still it is difficult to decide which method would fit the best to a given problem. In this study the optimization of a fuzzy rule-base from a classifier, more specifically fuzzy character recognizer is used as the reference problem and the aim of the research was to investigate the behavior of selected meta-heuristic optimization techniques in order to develop a multi meta-heuristic algorithm.

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Acknowledgments

This paper is partially supported by the TÁMOP-4.2.2.A-11/1/KONV-2012-0012 and Hungarian Scientific Research Fund (OTKA) grants K105529, K108405.

Author information

Authors and Affiliations

  1. Department of Information Technology, Széchenyi István University, Győr, Hungary

    Alex Tormási

  2. Department of Automation, Széchenyi István University, Győr, Hungary

    Alex Tormási & László T. Kóczy

  3. Department of Telecommunication and Media Informatics, Budapest University of Technology and Economics, Budapest, Hungary

    László T. Kóczy

Authors
  1. Alex Tormási
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  2. László T. Kóczy
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Corresponding author

Correspondence to Alex Tormási .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Texas State University, San Marcos, Texas, USA

    Dan E. Tamir

  2. School of Computing and Information Sciences, Florida International University, Miami, Florida, USA

    Naphtali D. Rishe

  3. School of Computing and Information Sciences, The University of South Florida, Tampa, Florida, USA, and Florida International University, Miami, Florida, USA

    Abraham Kandel

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Tormási, A., Kóczy, L.T. (2015). Meta-Heuristic Optimization of a Fuzzy Character Recognizer. In: Tamir, D., Rishe, N., Kandel, A. (eds) Fifty Years of Fuzzy Logic and its Applications. Studies in Fuzziness and Soft Computing, vol 326. Springer, Cham. https://doi.org/10.1007/978-3-319-19683-1_13

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  • DOI: https://doi.org/10.1007/978-3-319-19683-1_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19682-4

  • Online ISBN: 978-3-319-19683-1

  • eBook Packages: EngineeringEngineering (R0)

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