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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Veröffentlicht in:	Applied soft computing Jg. 182; S. 113574
Hauptverfasser:	Xue, Feng, Liang, Peng, Yang, Ying, Wang, Jincheng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.10.2025
Schlagworte:	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-Zugang:	Volltext
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