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DNA coded GA for the rule base optimization of a fuzzy logic controller

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3 Author(s)
Peng, X. ; Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore ; Vadakkepat, P. ; Tong Heng Lee

A DNA coded genetic-algorithm (GA) is proposed to optimize the rule-base of a fuzzy logic controller (FLC). The controller is designed for a vehicle-active suspension system to improve the driving comfort. The DNA codes GA constructed optimal decision-making rules for the fuzzy logic controller. Simulation results demonstrate the effectiveness of the algorithm

Published in:
Evolutionary Computation, 2001. Proceedings of the 2001 Congress on  (Volume:2 )

Date of Conference: 2001

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