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Multistep Fuzzy Classifier Forming with Cooperative-Competitive Coevolutionary Algorithm

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Advances in Swarm Intelligence (ICSI 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7331))

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Abstract

This paper is about multistep fuzzy classifier forming method with cooperative-competitive coevolutionary algorithm. Cooperative-competitive coevolutionary algorithm automatically allows avoiding the problem of genetic algorithm parameters setting. This approach is included in a new method combining Michigan and Pittsburgh approaches for fuzzy classifier design. The procedure is performed several times. After each step classification efficiency is increased and standard deviation of values is decreased. Results of numerical experiments for machine learning problems from UCI repository are presented.

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Author information

Authors and Affiliations

  1. Departement of System Analysis and Operation Research, Siberian State Aerospace University, Krasnoyarskiy Rabochiy Avenue 31, 660037, Krasnoyarsk, Russian Federation

    Roman Sergienko & Eugene Semenkin

Authors
  1. Roman Sergienko
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  2. Eugene Semenkin
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Editor information

Editors and Affiliations

  1. Key Laboratory of Machine Perception (MOE), Peking University, Department of Machine Intelligence, School of Electronics Engineering and Computer Science, Peking University, 100871, Beijing, China

    Ying Tan

  2. Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, China

    Yuhui Shi

  3. Shenzhen City Key Laboratory of Embedded System Design, College of Computer Science and Software Engineering, Shenzhen University, 518060, Shenzhen, China

    Zhen Ji

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© 2012 Springer-Verlag Berlin Heidelberg

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Sergienko, R., Semenkin, E. (2012). Multistep Fuzzy Classifier Forming with Cooperative-Competitive Coevolutionary Algorithm. In: Tan, Y., Shi, Y., Ji, Z. (eds) Advances in Swarm Intelligence. ICSI 2012. Lecture Notes in Computer Science, vol 7331. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30976-2_55

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  • DOI: https://doi.org/10.1007/978-3-642-30976-2_55

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30975-5

  • Online ISBN: 978-3-642-30976-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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