A hybrid genetic tabu search algorithm for metro crew scheduling based on a space-time-state network

The crew scheduling problem is highly important for the operation and management of urban rail transit. It is essential to reasonably design an approach for optimizing the crew schedule within the constraints of a provided train diagram so that the schedule is highly versatile and can meet the actua...

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Bibliographic Details

Published in:	Applied soft computing Vol. 182; p. 113574
Main Authors:	Xue, Feng, Liang, Peng, Yang, Ying, Wang, Jincheng
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.10.2025
Subjects:	Crew scheduling Hybrid genetic tabu search algorithm Space-time-state network Urban rail transit Urban rail transit Hybrid genetic tabu search algorithm Crew scheduling Space-time-state network
ISSN:	1568-4946
Online Access:	Get full text
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