On the use of rule-sharing in learning classifier system ensembles

L Bull, M Studley, AJ Bagnall, IM Whittley

Research output: Contribution to conferencePaper

9 Citations (Scopus)


This paper presents an investigation into exploiting the population-based nature of learning classifier systems for their use within highly-parallel systems. In particular, the use of simple accuracy-based learning classifier systems within the ensemble machine approach is examined. Results indicate that inclusion of a rule migration mechanism inspired by parallel genetic algorithms is an effective way to improve learning speed
Original languageEnglish
Number of pages6
Publication statusPublished - Sep 2005
Event2005 Congress on Evolutionary Computation - Edinburgh, Scotland
Duration: 5 Sep 2005 → …


Conference2005 Congress on Evolutionary Computation
CityEdinburgh, Scotland
Period5/09/05 → …

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