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Optimizing the Paths of Trains Formed at the Loading Area in a Multi-loop Rail Network

School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
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Symmetry 2019, 11(7), 844; https://doi.org/10.3390/sym11070844
Received: 29 May 2019 / Revised: 19 June 2019 / Accepted: 26 June 2019 / Published: 1 July 2019
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Abstract

Each loop in a multi-loop rail network consists of two segments, both of which have roughly the same conditions and mileage and are approximately symmetrical. This paper is devoted to optimizing the paths of trains formed at the loading area in a multi-loop rail network. To attain this goal, three different situations are analyzed, and two models are proposed for networks with adequate and inadequate capabilities. Computational experiments are also carried out using the commercial software Lingo, with the branch and bound algorithm. The results show that the models can achieve the same solution with different solution times. To solve the problem of path selection for large-scale train flows, a genetic algorithm is also designed and proves to perform well in a set of computational experiments. View Full-Text
Keywords: multi-loop rail network; path optimization; trains formed at loading area; genetic algorithm multi-loop rail network; path optimization; trains formed at loading area; genetic algorithm
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Li, X.; Lin, B.; Zhao, Y. Optimizing the Paths of Trains Formed at the Loading Area in a Multi-loop Rail Network. Symmetry 2019, 11, 844.

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