The principle of maximum entropy-based two-phase optimization of fuzzy controller by evolutionary programming

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In this paper, a two-phase evolutionary optimization scheme is proposed for obtaining optimal structure of fuzzy control rules and their associated weights, using evolutionary programming (EP) and the principle of maximum entropy (PME) based on the. previous research [1].
Publisher
SPRINGER-VERLAG BERLIN
Issue Date
2003-08
Language
English
Article Type
Article; Proceedings Paper
Citation

GENETIC AND EVOLUTIONARY COMPUTATION - GECCO 2003, PT I, PROCEEDINGS BOOK SERIES: LECTURE NOTES IN COMPUTER SCIENCE, v.2723, pp.638 - 639

ISSN
0302-9743
URI
http://hdl.handle.net/10203/82235
Appears in Collection
EE-Journal Papers(저널논문)
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