Study and application of a constrained multi-objective optimization algorithm

Liu Fu; Jintu Fan; Li Yuanchun; Tian Yantao; Dai Yisong

doi:10.1109/IVEC.1999.830691

Study and application of a constrained multi-objective optimization algorithm

Liu Fu, Jintu Fan, Li Yuanchun, Tian Yantao, Dai Yisong

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

2 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings of the IEEE International Vehicle Electronics Conference, IVEC 1999
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	305-307
Number of pages	3
ISBN (Electronic)	0780352963, 9780780352964
DOIs	https://doi.org/10.1109/IVEC.1999.830691
Publication status	Published - 1 Jan 1999
Event	1999 IEEE International Vehicle Electronics Conference, IVEC 1999 - Changchun, China Duration: 6 Sept 1999 → 9 Sept 1999

Conference

Conference	1999 IEEE International Vehicle Electronics Conference, IVEC 1999
Country/Territory	China
City	Changchun
Period	6/09/99 → 9/09/99

ASJC Scopus subject areas

Automotive Engineering
Electrical and Electronic Engineering

More information

10.1109/IVEC.1999.830691

Cite this

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title = "Study and application of a constrained multi-objective optimization algorithm",

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.",

author = "Liu Fu and Jintu Fan and Li Yuanchun and Tian Yantao and Dai Yisong",

year = "1999",

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Fu, L, Fan, J, Yuanchun, L, Yantao, T & Yisong, D 1999, Study and application of a constrained multi-objective optimization algorithm. in Proceedings of the IEEE International Vehicle Electronics Conference, IVEC 1999., 830691, Institute of Electrical and Electronics Engineers Inc., pp. 305-307, 1999 IEEE International Vehicle Electronics Conference, IVEC 1999, Changchun, China, 6/09/99. https://doi.org/10.1109/IVEC.1999.830691

Study and application of a constrained multi-objective optimization algorithm. / Fu, Liu; Fan, Jintu; Yuanchun, Li et al.
Proceedings of the IEEE International Vehicle Electronics Conference, IVEC 1999. Institute of Electrical and Electronics Engineers Inc., 1999. p. 305-307 830691.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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Study and application of a constrained multi-objective optimization algorithm

Abstract

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ASJC Scopus subject areas

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