Optimising railcar transfer chain via fuzzy programming and a simulated annealing algorithm

References

• Aarts, E. H. L., & Van Laarhoven, P. J. M. (1985). Statistical cooling: A general approach to combinatorial optimization problems. Philips Journal of Research, 40(4), 193–226. https://mathscinet.ams.org/mathscinet-getitem?mr=812442.
   Google Scholar
• Ahuja, R. K., Cunha, C. B., & Sahin, G. (2005). Network models in railroad planning and scheduling. Tutorials in Operations Research, 54–101. https://doi.org/10.1287/educ.1053.0013
   Google Scholar
• Ahuja, R. K., Jha, K. C., & Liu, J. (2007). Solving real-life railroad blocking problems. Interfaces, 37(5), 404–419. https://doi.org/10.1287/inte.1070.0295
   Web of Science ®Google Scholar
• Arani, A. M., Jolai, F., & Nasiri, M. M. (2019). A multi-commodity network flow model for railway capacity optimization in case of line blockage. International Journal of Rail Transportation, 7(4), 297–320. https://doi.org/10.1080/23248378.2019.1571450
   Web of Science ®Google Scholar
• Badetskii, A., & Medved, O. (2021). Improving the stability of the train formation plan to uneven operational work. Transportation Research Procedia, 54, 559–567. https://doi.org/10.1016/j.trpro.2021.02.108
   Google Scholar
• Barnhart, C., Jin, H., & Vance, P. H. (2000). Railroad blocking: A network design application. Operations Research, 48(4), 603–614. https://doi.org/10.1287/opre.48.4.603.12416
   Web of Science ®Google Scholar
• Chen, C. S., Dollevoet, T., & Zhao, J. (2018). One-block train formation in large-scale railway networks: An exact model and a tree-based decomposition algorithm. Transportation Research Part B: Methodological, 118, 1–30. https://doi.org/10.1016/j.trb.2018.10.003
   Web of Science ®Google Scholar
• Crainic, T. G. (2000). Service network design in freight transportation. European Journal of Operations Research, 122(2), 272–288. https://doi.org/10.1016/S0377-2217(99)00233-7
   Web of Science ®Google Scholar
• Crainic, T. G., Hewitt, M., Toulouse, M., & Vu, D. M. (2016). Service network design with resource constraints. Transportation Science, 50(4), 1380–1393. https://doi.org/10.1287/trsc.2014.0525
   Web of Science ®Google Scholar
• Jha, K. C., Ahuja, R. K., & Sahin, G. (2008). New approaches for solving the block-to-train assignment problem. Networks, 51(1), 48–62. https://doi.org/10.1002/net.20195
   Web of Science ®Google Scholar
• Lan, Z., He, S. W., & Xu, Y. (2021). Combining benders decomposition and column generation for scheduled service network design problem in rail freight transportation. Transportmetrica A: Transport Science, 17(4), 1382–1404. https://doi.org/10.1080/23249935.2020.1863505
   Web of Science ®Google Scholar
• Li, B., Jiang, S. T., Zhou, Y. J., & Xuan, H. (2023). Optimization of train formation plan based on technical station under railcar demand fluctuation. Journal of Industrial and Production Engineering, 40(6), 448–463. https://doi.org/10.1080/21681015.2023.2221699
   Web of Science ®Google Scholar
• Lin, B. L. (2017). Integrating car path optimization with train formation plan: A non-linear binary programming model and simulated annealing based heuristics. arXiv2017, arXiv.1707.08326. https://doi.org/10.48550/arXiv.1707.08326
   Google Scholar
• Lin, B. L., Wang, Z. M., Ji, L. J., Tian, Y. M., & Zhou, G. Q. (2012). Optimizing the freight train connection service network of a large-scale rail system. Transportation Research Part B: Methodological, 46(5), 649–667. https://doi.org/10.1016/j.trb.2011.12.003
   Web of Science ®Google Scholar
• Lin, B. L., Zhao, Y. N., Lin, R. X., & Liu, C. (2021). Integrating traffic routing optimization and train formation plan using simulated annealing algorithm. Applied Mathematical Modelling, 93, 811–830. https://doi.org/10.1016/j.apm.2020.12.031
   Web of Science ®Google Scholar
• Liu, D., Yan, P. Y., Deng, Z. H., Wang, Y. H., & Kaisar, E. I. (2020). Collaborative intermodal freight transport network design and vehicle arrangement with applications in the oil and gas drilling equipment industry. Transportmetrica A: Transport Science, 16(3), 1574–1603. https://doi.org/10.1080/23249935.2020.1758235
   Web of Science ®Google Scholar
• Lulli, G., Pietropaoli, U., & Ricciardi, N. (2011). Service network design for freight railway transportation: The Italian case. Journal of the Operational Research Society, 62(12), 2107–2119. https://doi.org/10.1057/jors.2010.190
   Web of Science ®Google Scholar
• Meng, X. L., Wang, Y. H., Qin, Y., & Xiang, W. L. (2022). Railway transit network design based on fuzzy plant growth simulation algorithm. Transportation Letters: The International Journal of Transportation Research, 14(2), 186–194. https://doi.org/10.1080/19427867.2020.1852495
   Web of Science ®Google Scholar
• Milenković, M., & Bojović, N. (2013). A fuzzy random model for rail freight car fleet sizing problem. Transportation Research Part C: Emerging Technologies, 33, 107–133. https://doi.org/10.1016/j.trc.2013.05.003
   Web of Science ®Google Scholar
• Steinbrunn, M., Moerkotte, G., & Kemper, A. (1997). Heuristic and randomized optimization for the Join Ordering Problem. The VLDB Journal The International Journal on Very Large Data Bases, 6(3), 191–208. https://doi.org/10.1007/s007780050040
   Google Scholar
• Xiao, J., Joern, P., Lin, B. L., & Wang, J. X. (2018). Solving the block-to-train assignment problem using the heuristic approach based on the genetic algorithm and tabu search. Transportation Research Part B: Methodological, 108, 148–171. https://doi.org/10.1016/j.trb.2017.12.014
   Web of Science ®Google Scholar
• Yaghini, M., Foroughi, A., & Nadjari, B. (2011). Solving railroad blocking problem using ant colony optimization algorithm. Applied Mathematical Modelling, 35(12), 5579–5591. https://doi.org/10.1016/j.apm.2011.05.018
   Web of Science ®Google Scholar
• Yaghini, M., Momeni, M., & Sarmadi, M. (2013). An improved local branching approach for train formation planning. Applied Mathematical Modelling, 37(4), 2300–2307. https://doi.org/10.1016/j.apm.2012.05.016
   Web of Science ®Google Scholar
• Yaghini, M., Momeni, M., Sarmadi, M., Seyedabadi, M., & Khoshraftar, M. M. (2015). A fuzzy railroad blocking model with genetic algorithm solution approach for Iranian railways. Applied Mathematical Modelling, 39(20), 6114–6125. https://doi.org/10.1016/j.apm.2015.01.052
   Web of Science ®Google Scholar
• Yue, Y. X., Zhou, L. S., Yue, Q. X., & Fan, Z. P. (2011). Multi-route railroad blocking problem by improved model and ant colony algorithm in real world. Computers & Industrial Engineering, 60(1), 34–42. https://doi.org/10.1016/j.cie.2010.09.014
   Web of Science ®Google Scholar
• Zhu, E., Crainic, G. T., & Gendreau, M. (2014). Scheduled service network design for freight rail transportation. Operations Research, 62(2), 383–400. https://doi.org/10.1287/opre.2013.1254
   Web of Science ®Google Scholar