Please use this identifier to cite or link to this item: https://doi.org/10. 1049/ip-epa:19990481
Title: Pareto-optimal set based multiobjective tuning of fuzzy automatic train operation for mass transit system
Authors: Chang, C.S. 
Issue Date: 1999
Citation: Chang, C.S. (1999). Pareto-optimal set based multiobjective tuning of fuzzy automatic train operation for mass transit system. IEE Proceedings: Electric Power Applications 146 (5) : 577-581. ScholarBank@NUS Repository. https://doi.org/10. 1049/ip-epa:19990481
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. © IEE, 1999.
Source Title: IEE Proceedings: Electric Power Applications
URI: http://scholarbank.nus.edu.sg/handle/10635/80938
ISSN: 13502352
DOI: 10. 1049/ip-epa:19990481
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

WEB OF SCIENCETM
Citations

55
checked on Nov 6, 2018

Page view(s)

34
checked on Sep 28, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.