Abstract
The empty car distribution is an important part of technical plan for railway transportation and can deal with the unbalanced distribution of empty car reasonably. So, taken the uncertainty of freight supply and demand into account, a fuzzy empty car distribution model is established in the aim of minimizing the total empty car running kilometers. Furthermore, according to the characteristic of this problem, a two-phase genetic algorithm (GA) is put on emphases to propose based on simulation. Since different objective values can be obtained in different conditions rather than a crisp value, more information is provided for making adjustment measures. Therefore, the model and algorithm have theoretical value and practical value.
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Acknowledgement
This work is supported by the National Natural Science Foundation of China (No. 71761024 and No. 71671079), and the Science and Technology Development Project Plan for 2019 of Lanzhou Bureau Group Company (No. KY201978). The authors wish to thank anonymous referees and the editor for their comments and suggestions.
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Liu, L., Yang, X. (2020). A Model and an Algorithm for Empty Car Distribution in Railway Transportation. In: Liu, Y., Wang, L., Zhao, L., Yu, Z. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2019. Advances in Intelligent Systems and Computing, vol 1074. Springer, Cham. https://doi.org/10.1007/978-3-030-32456-8_13
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DOI: https://doi.org/10.1007/978-3-030-32456-8_13
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