Train operation optimization with adaptive differential evolution algorithm based on decomposition

The train operation is a multi‐objective optimization process including several operating indexes, such as safety, punctuality, precision stop, comfort, and low‐energy consumption. The speed profile and timetable for trains should be adjusted correspondingly to satisfy the passengers' demands w...

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Bibliographic Details
Published in:	IEEJ transactions on electrical and electronic engineering Vol. 14; no. 12; pp. 1772 - 1779
Main Authors:	Liu, Di, Zhu, Songqing, Xu, Youxiong, Liu, Kun
Format:	Journal Article
Language:	English
Published:	Hoboken, USA John Wiley & Sons, Inc 01.12.2019 Wiley Subscription Services, Inc
Subjects:	Adaptive algorithms adaptive differential evolution algorithm Classification Computer simulation Decomposition Energy consumption Evolutionary algorithms Evolutionary computation Genetic algorithms multi‐objective optimization Optimization Passenger comfort Passenger satisfaction Passenger trains Safety Sorting algorithms subway train Subways Timetables
ISSN:	1931-4973, 1931-4981
Online Access:	Get full text
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