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Speedup character-based matching in learning classifier systems with Xor

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.
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https://hal.archives-ouvertes.fr/hal-00520610
Contributor : Mathias Peroumalnaïk <>
Submitted on : Thursday, September 23, 2010 - 6:36:58 PM
Last modification on : Wednesday, July 18, 2018 - 8:11:27 PM

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Gilles Enée, Mathias Peroumalnaïk. Speedup character-based matching in learning classifier systems with Xor. Genetic And Evolutionary Computation Conference, Jul 2010, Portland, Oregon, United States. pp.1879-1884, ⟨10.1145/1830761.1830820⟩. ⟨hal-00520610⟩

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