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Pareto-optimal set based multiobjective tuning of fuzzy automatic train operation for mass transit system

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3 Author(s)
Chang, C.S. ; Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore ; Xu, D.Y. ; Quek, H.B.

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

Published in:

Electric Power Applications, IEE Proceedings -  (Volume:146 ,  Issue: 5 )