Volume 7 Number 1 (Jan. 2012)
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JSW 2012 Vol.7(1): 49-54 ISSN: 1796-217X
doi: 10.4304/jsw.7.1.49-54

Research on Optimization Model and Algorithm of Initial Schedule of Intercity Passenger Trains based on Fuzzy Sets

Dingjun Chen and Kaiteng Wu
Key Laboratory of Numerical Simulation of Sichuan Province, Neijiang Normal University, Neijiang, 641112, China

Abstract—The initial schedule of passenger trains is the base of train working diagram . Taking the maximization of passenger satisfaction as the objective function and considering some constraint conditions such as the coordinate utilization of arrival and departure tracks and train-set joining time, etc, a mathematics model for optimizing the initial schedule of intercity passenger trains is constructed based on fuzzy sets. Furthermore, a heuristic genetic algorithm is designed to solve the model and the example is proposed to prove the effectiveness of the model and algorithm.

Index Terms—initial schedule; fuzzy sets; passenger trains; genetic algorithm

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Cite:Dingjun Chen and Kaiteng Wu, "Research on Optimization Model and Algorithm of Initial Schedule of Intercity Passenger Trains based on Fuzzy Sets," Journal of Software vol. 7, no.1, pp. 49-54, 2012.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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