Genetic optimization of fuzzy rule based MAS using cognitive analysis

  • Authors:

  • Petr Cermak;Michal Mura

  • Affiliations:

  • Research Institute of the IT4Innovations Centre of Excellence, Faculty of Philosophy and Science in Opava, Silesian University in Opava, Opava, Czech Republic;Tieto Czech s.r.o, Ostrava, Czech Republic

  • Venue:
  • SIDE'12 Proceedings of the 2012 international conference on Swarm and Evolutionary Computation
  • Year:
  • 2012

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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.