Speedup character-based matching in learning classifier systems with Xor

  • Authors:
  • Gilles Éné;Mathias Péroumalnaïk

  • Affiliations:
  • Lamia laboratory, Pointe à Pitre, Guadeloupe;Lamia laboratory, Pointe à Pitre, Guadeloupe

  • Venue:
  • Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
  • Year:
  • 2010

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Abstract

In 2008 a scientific paper written by Butz and al. investigated Matching in Learning Classifier Systems. Matching represents at least 65% of the computational time when executing a classifier system as reported in Llora and al. We propose to modify that encoding using a fast and accurate matching replacing standard matching algorithm for character-based classifier systems.