DocumentCode
1281518
Title
Pareto-optimal set based multiobjective tuning of fuzzy automatic train operation for mass transit system
Author
Chang, C.S. ; Xu, D.Y. ; Quek, H.B.
Author_Institution
Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore
Volume
146
Issue
5
fYear
1999
fDate
9/1/1999 12:00:00 AM
Firstpage
577
Lastpage
583
Abstract
A novel approach of differential evolution (DE) by incorporating the Pareto-optimal set is presented for optimising train movement through tuning fuzzy membership functions in mass transit systems. The Pareto-optimal based multiobjective optimisation approach uniquely provides a set of optimal non-dominated solutions to the decision-maker. From the set, the decision-maker selects satisfactory solutions according to different running conditions to meet the various requirements. A fuzzy controller for automatic train operation is optimised to demonstrate the effectiveness of this new approach
Keywords
rapid transit systems; Pareto-optimal set based multiobjective tuning; control design; control simulation; differential evolution; fuzzy automatic train operation; fuzzy membership functions; mass transit system; running conditions; train movement optimisation;
fLanguage
English
Journal_Title
Electric Power Applications, IEE Proceedings -
Publisher
iet
ISSN
1350-2352
Type
jour
DOI
10.1049/ip-epa:19990481
Filename
810276
Link To Document