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Genetic Optimization of Fuzzy Rule Based MAS Using Cognitive Analysis

  • Conference paper
Swarm and Evolutionary Computation (EC 2012, SIDE 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7269))

Abstract

The aim of the contribution is to present Cognitive Analysis of fuzzy rule bases used in Genetic optimization of Multiagent system behaviour. This Cognitive analysis allows to analyze behaviour caused by rules and sort them to Social, Group or Individual sets of the rules. Rules, which have same behaviour, can be reduced. This allows to decrease of the rules and number of genes in chromosome and also GA Search Space. The Fuzzy Rule Based Evolution System is presented. This system consists of three main parts the FUZNET, the GA-MPI and the Webots. Simple example based on the Box Pushing problem is presented.

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References

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Author information

Authors and Affiliations

  1. Research Institute of the IT4Innovations Centre of Excellence, Faculty of Philosophy and Science in Opava, Silesian University in Opava, Bezruc Sq. 13, 746 01, Opava, Czech Republic

    Petr Cermak

  2. Tieto Czech s.r.o, Varenská 2723/51, CZ- 702 00, Ostrava, Czech Republic

    Michal Mura

Authors
  1. Petr Cermak
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  2. Michal Mura
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Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Armii Krajowej 36, 42-200, Częstochowa, Poland

    Leszek Rutkowski , Marcin Korytkowski  & Rafał Scherer ,  & 

  2. AGH University of Science and Technology, Mickiewicza 30, 30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  3. Department of Electrical Engineering and Computer Sciences, Computer Science Division, University of California Berkeley, 94720-1776, Berkeley, CA, USA

    Lotfi A. Zadeh

  4. Computational Intelligence Laboratory, Electrical and Computer Engineering, University of Louisville, 405 Lutz Hallz, 40292, Louisville, KY, USA

    Jacek M. Zurada

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© 2012 Springer-Verlag Berlin Heidelberg

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Cermak, P., Mura, M. (2012). Genetic Optimization of Fuzzy Rule Based MAS Using Cognitive Analysis. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Swarm and Evolutionary Computation. EC SIDE 2012 2012. Lecture Notes in Computer Science, vol 7269. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29353-5_19

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  • DOI: https://doi.org/10.1007/978-3-642-29353-5_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29352-8

  • Online ISBN: 978-3-642-29353-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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