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Complexity
Volume 2017, Article ID 3717654, 14 pages
https://doi.org/10.1155/2017/3717654
Research Article

Application of Multiple-Population Genetic Algorithm in Optimizing the Train-Set Circulation Plan Problem

1Department of Transportation Management Engineering, School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China
2Ministry of Education (MOE) Key Laboratory for Urban Transportation Complex System Theory and Technology, School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China
3Department of Civil, Environmental, and Infrastructure Engineering, Volgenau School of Engineering, George Mason University, Fairfax, VA, USA
4Center for Advanced Transportation System Simulation, Department of Civil Environment Construction Engineering, University of Central Florida, Orlando, FL, USA

Correspondence should be addressed to Leishan Zhou; nc.ude.utjb@uohzhsl

Received 2 January 2017; Revised 5 April 2017; Accepted 28 May 2017; Published 2 July 2017

Academic Editor: Jose Egea

Copyright © 2017 Yu Zhou et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Yu Zhou, Leishan Zhou, Yun Wang, Zhuo Yang, and Jiawei Wu, “Application of Multiple-Population Genetic Algorithm in Optimizing the Train-Set Circulation Plan Problem,” Complexity, vol. 2017, Article ID 3717654, 14 pages, 2017. https://doi.org/10.1155/2017/3717654.