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Hybrid fuzzy modelling using memetic algorithm for hydrocyclone control

Wong, K.W., Ong, Y.S., Eren, H. and Fung, C.C. (2004) Hybrid fuzzy modelling using memetic algorithm for hydrocyclone control. In: 2004 International Conference on Machine Learning and Cybernetics, 26-29 Aug. 2004, Shanghai

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    Abstract

    The use of a hybrid fuzzy modeling can act as a good alternative in establishing a hydrocyclone control model in estimating the hydrocyclone parameter, d50c. In most control and engineering applications, the use of fuzzy system as a way to improve the human-computer interaction has becoming popular. The main advantage of this proposed hybrid fuzzy system used for hydrocyclone control is that it only presents a small amount of fuzzy rules. It uses memetic algorithms to optimize the fuzzy parameters of the system to yield in a more accurate hydrocyclone control system.

    Publication Type: Conference Paper
    Murdoch Affiliation: School of Information Technology
    Publisher: IEEE
    Copyright: © 2004 IEEE
    Notes: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
    URI: http://researchrepository.murdoch.edu.au/id/eprint/951
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