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

被引：63

作者：

Chang, CS ^{[1
]}

Xu, DY ^{[1
]}

Quek, HB ^{[1
]}

机构：

[1] Natl Univ Singapore, Dept Elect Engn, Singapore 119260, Singapore

来源：

IEE PROCEEDINGS-ELECTRIC POWER APPLICATIONS | 1999年 / 146卷 / 05期

关键词：

D O I：

10.1049/ip-epa:19990481

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：577 / 583

页数：7

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