Title :
On the use of rule-sharing in learning classifier system ensembles
Author :
Bull, Larry ; Studley, Matthew ; Bagnall, Tony ; Whittley, Ian
Author_Institution :
Sch. of Comput. Sci., West of England Univ., Bristol
Abstract :
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
Keywords :
genetic algorithms; learning (artificial intelligence); parallel algorithms; pattern classification; ensemble machine; learning classifier system; parallel genetic algorithms; population-based nature; rule migration mechanism; rule-sharing; Computer science; Data analysis; Data mining; Evolutionary computation; Genetic algorithms; Large-scale systems; Machine learning; Machine learning algorithms; Parallel processing; Production systems;
Conference_Titel :
Evolutionary Computation, 2005. The 2005 IEEE Congress on
Conference_Location :
Edinburgh, Scotland
Print_ISBN :
0-7803-9363-5
DOI :
10.1109/CEC.2005.1554739
