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Conference Papers Year : 2010

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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Dates and versions

hal-00520610 , version 1 (23-09-2010)

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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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UNIV-AG LAMIA
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