Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/78047
Title: Study and application of a constrained multi-objective optimization algorithm
Authors: Fu, L 
Fan, J 
Yuanchun, L
Yantao, T
Yisong, D
Issue Date: 1999
Publisher: Institute of Electrical and Electronics Engineers
Source: Proceedings of the IEEE International Vehicle Electronics Conference, IVEC 1999, 9 Sept 1999, 830691, p. 305-307 How to cite?
Abstract: It is well known that the PID regulator has been very successful and widely accepted for controlling systems where one objective function is the performance criterion. When the objective functions are more than one, to select the parameters of the controller is very difficult. Especially for modern nonlinear robust controllers, it is almost impossible to tune these parameters. This paper introduces the multiobjective fuzzy genetic optimization algorithm, which provides an effective, efficient and intuitive framework for selecting these parameters. This can be used to design complex controllers in developing the diesel engine.
URI: http://hdl.handle.net/10397/78047
ISBN: 0780352963
9780780352964
DOI: 10.1109/IVEC.1999.830691
Appears in Collections:Conference Paper

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