Study and application of a constrained multi-objective optimization algorithm

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

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)


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 languageEnglish
Title of host publicationProceedings of the IEEE International Vehicle Electronics Conference, IVEC 1999
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages3
ISBN (Electronic)0780352963, 9780780352964
Publication statusPublished - 1 Jan 1999
Event1999 IEEE International Vehicle Electronics Conference, IVEC 1999 - Changchun, China
Duration: 6 Sep 19999 Sep 1999


Conference1999 IEEE International Vehicle Electronics Conference, IVEC 1999

ASJC Scopus subject areas

  • Automotive Engineering
  • Electrical and Electronic Engineering

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