An Operation Optimization for Express Freight Trains Based on Shipper Demands | Zendy

Yuzhao Zhang | Zendy; Yusong Yan | Zendy

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An Operation Optimization for Express Freight Trains Based on Shipper Demands

Author(s) -

Yuzhao Zhang,

Yusong Yan

Publication year - 2014

Publication title -

discrete dynamics in nature and society

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.264

H-Index - 39

eISSN - 1607-887X

pISSN - 1026-0226

DOI - 10.1155/2014/232890

Subject(s) - marshalling , train , computer science , genetic algorithm , integer programming , heuristic , service (business) , operations research , plan (archaeology) , integer (computer science) , set (abstract data type) , mathematical optimization , variable (mathematics) , constant (computer programming) , transport engineering , engineering , algorithm , business , mathematics , mathematical analysis , cartography , archaeology , marketing , machine learning , artificial intelligence , history , programming language , geography

The supreme goal of railway express freight transportation is to meet the various demands of shippers. This paper considers the optimization problem of the operation plan for express freight trains based on shipper demands, including transport volume, service frequency, and transit time. An integer programming model that takes maximum shipper demands as optimized objective is proposed to realize the assignment of trains to candidate paths. In this model, the number of marshalling cars for express freight train is set as a decision variable rather than a constant to better satisfy the demand characteristics. A heuristic solution algorithm based on genetic algorithm is then designed. Finally, a numerical case is applied to verify the feasibility of the model and the algorithm

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