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http://bura.brunel.ac.uk/handle/2438/4835| Title: | Multi-objective genetic optimisation for self-organising fuzzy logic control |
| Authors: | Abbod, MF Mahfouf, M Linkens, DA |
| Keywords: | Fuzzy logic;Self-organising;Multi-objective optimisation |
| Issue Date: | 1998 |
| Publisher: | IEEE |
| Citation: | IEE Conference Publication, 2(455): 1575-1580, Sep 1998 |
| Abstract: | A multi-objective genetic algorithm is developed for the purpose of optimizing the rule-base of a Self-Organising Fuzzy Logic Control algorithm (SOFLC). The tuning of the SOFLC optimization is based on selection of the best shaped performance index for modifying the rule-base on-line. A comparative study is conducted between various methods of multi-objective genetic optimisation using the SOFLC algorithm on the muscle relaxant anaesthesia system, which includes a severe non-linearity, varying dynamics and time-delay. |
| Description: | This is the post-print version of the article. The official published version can be accessed from the link below. |
| URI: | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=726154 http://bura.brunel.ac.uk/handle/2438/4835 |
| DOI: | http://dx.doi.org/10.1049/cp:19980464 |
| ISBN: | 0-85296-708-X |
| ISSN: | 0537-9989 |
| Appears in Collections: | Electronic and Electrical Engineering Dept of Electronic and Electrical Engineering Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Fulltext.pdf | 132.53 kB | Adobe PDF | View/Open |
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