Andy Tomlinson
A corporate classifier system
Tomlinson, Andy; Bull, Larry
Authors
Lawrence Bull Larry.Bull@uwe.ac.uk
School Director (Research & Enterprise) and Professor
Contributors
A. E. Eiben
Editor
Th. B�ck
Editor
M. Schoenauer
Editor
H.-P. Schwefel
Editor
Abstract
Based on the proposals of Wilson and Goldberg we introduce a macro-level evolutionary operator which creates structural links between rules in the ZCS model and thus forms "corporations" of rules within the classifier system population. Rule co-dependencies influence both the behaviour of the discovery components of the system and the production system, where a corporation can take control for a number of timesteps. The system is compared to ZCS and also ZCSM in a number of maze environments which include Woods 1 and Woods 7. The corporate classifier system is shown to be the most suitable design to tackle a range of these types of problems.
Citation
Tomlinson, A., & Bull, L. (1998). A corporate classifier system. In A. E. Eiben, T. Bäck, M. Schoenauer, & H. Schwefel (Eds.), Parallel Problem Solving from Nature—PPSN V. , (550-559). https://doi.org/10.1007/BFb0056897
Conference Name | Parallel Problem Solving from Nature—PPSN V |
---|---|
Conference Location | Amsterdam, The Netherlands |
Start Date | Sep 27, 1998 |
End Date | Sep 30, 1998 |
Publication Date | Jan 1, 1998 |
Publisher | Springer Verlag |
Peer Reviewed | Not Peer Reviewed |
Pages | 550-559 |
Series Title | Lecture Notes in Computer Science |
Series Number | 1498 |
Series ISSN | 0302-9743 |
Book Title | Parallel Problem Solving from Nature—PPSN V |
ISBN | 9783540650782 |
DOI | https://doi.org/10.1007/BFb0056897 |
Keywords | corporate classifier system |
Public URL | https://uwe-repository.worktribe.com/output/1101720 |
Publisher URL | http://dx.doi.org/10.1007/BFb0056897 |
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