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|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|
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