Synthetic Optimization Model and Algorithm for Railway Freight Center Station Location and Wagon Flow Organization Problem | Zendy

Xing-cai Liu | Zendy; Shiwei He | Zendy; Rui Song | Zendy; Haodong Li | Zendy; Long Wang | Zendy; Yang Sun | Zendy

Open Access

Synthetic Optimization Model and Algorithm for Railway Freight Center Station Location and Wagon Flow Organization Problem

Author(s) -

Xing-cai Liu,

Shiwei He,

Rui Song,

Haodong Li,

Long Wang,

Yang Sun

Publication year - 2014

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2014/246791

Subject(s) - tabu search , location model , heuristic , flow network , flow (mathematics) , engineering , scale (ratio) , logistics center , selection (genetic algorithm) , service (business) , transport engineering , mathematical optimization , site selection , computer science , operations research , algorithm , mathematics , geography , geometry , cartography , economy , artificial intelligence , economics , law , political science

The railway freight center stations location and wagon flow organization in railway transport are interconnected, and each of them is complicated in a large-scale rail network. In this paper, a two-stage method is proposed to optimize railway freight center stations location and wagon flow organization together. The location model is present with the objective to minimize the operation cost and fixed construction cost. Then, the second model of wagon flow organization is proposed to decide the optimal train service between different freight center stations. The location of the stations is the output of the first model. A heuristic algorithm that combined tabu search (TS) with adaptive clonal selection algorithm (ACSA) is proposed to solve those two models. The numerical results show the proposed solution method is effective

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