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The Principle of Maximum Entropy-Based Two-Phase Optimization of Fuzzy Controller by Evolutionary Programming
Chi-Ho Lee, Ming Yuchi, Hyun Myung, and Jong-Hwan Kim
Dept. of Electrical Engineering and Computer Science,
Korea Advanced Institute of Science and Technology (KAIST),
373-1 Guseong-dong, Yuseong-gu,
Daejeon, 305-701, Republic of Korea
{chiho,ycm,johkim}@vivaldi.kaist.ac.kr
Abstract. 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].
LNCS 2723, p. 638 f.
lncs@springer.de
© Springer-Verlag Berlin Heidelberg 2003