Yang, Y.X. and Billings, S.A. (1998) Extracting Boolean Rules From CA Patterns. Research Report. ACSE Research Report 719 . Department of Automatic Control and Systems Engineering
Abstract
A multi-objective GA algorithm is introduced to identify both the neighbourhood and the rule set in the form of a parsimonious Boolean expression for both one-and-two-dimensional cellular automata. Simulation results illustrate that the new algorithm performs well even when the patterns are corrupted by static and dynamic noise.
Metadata
Item Type: | Monograph |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | The Department of Automatic Control and Systems Engineering research reports offer a forum for the research output of the academic staff and research students of the Department at the University of Sheffield. Papers are reviewed for quality and presentation by a departmental editor. However, the contents and opinions expressed remain the responsibility of the authors. Some papers in the series may have been subsequently published elsewhere and you are advised to cite the later published version in these instances. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) > ACSE Research Reports |
Depositing User: | MRS ALISON THERESA BARNETT |
Date Deposited: | 18 Nov 2014 12:48 |
Last Modified: | 25 Oct 2016 04:51 |
Status: | Published |
Publisher: | Department of Automatic Control and Systems Engineering |
Series Name: | ACSE Research Report 719 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:81761 |