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A hybrid genetic algorithm for train sequencing in the Korean railway

Author

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  • Chung, Ji-Won
  • Oh, Seog-Moon
  • Choi, In-Chan

Abstract

This article addresses the train-sequencing problem encountered in the Korean railway. It first presents a mixed integer programming model for the problem, in which the mileage must be balanced for each train route, while various field constraints must be satisfied, including overnight stay capacity and maintenance allocation restrictions. Then, it proposes a hybrid genetic algorithm as a solution approach to the problem. The proposed algorithm utilizes a modified elite group technique along with two heuristic procedures based on the mixed integer programming model. Finally, the proposed solution approach is tested with real-world data from the Korean railway. Numerical experiments under different conditions indicate that the proposed solution approach to the train-sequencing problem is promising.

Suggested Citation

  • Chung, Ji-Won & Oh, Seog-Moon & Choi, In-Chan, 2009. "A hybrid genetic algorithm for train sequencing in the Korean railway," Omega, Elsevier, vol. 37(3), pages 555-565, June.
  • Handle: RePEc:eee:jomega:v:37:y:2009:i:3:p:555-565
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    References listed on IDEAS

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    Cited by:

    1. Blanco, Víctor & Puerto, Justo & Ramos, Ana B., 2011. "Expanding the Spanish high-speed railway network," Omega, Elsevier, vol. 39(2), pages 138-150, April.
    2. Dali Jiang & Haitao Li & Tinghong Yang & De Li, 2016. "Genetic algorithm for inventory positioning problem with general acyclic supply chain networks," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 10(3), pages 367-384.
    3. Jaehn, Florian & Rieder, Johannes & Wiehl, Andreas, 2015. "Single-stage shunting minimizing weighted departure times," Omega, Elsevier, vol. 52(C), pages 133-141.
    4. Barrena, Eva & Canca, David & Coelho, Leandro C. & Laporte, Gilbert, 2014. "Single-line rail rapid transit timetabling under dynamic passenger demand," Transportation Research Part B: Methodological, Elsevier, vol. 70(C), pages 134-150.
    5. Yang, Lixing & Li, Keping & Gao, Ziyou & Li, Xiang, 2012. "Optimizing trains movement on a railway network," Omega, Elsevier, vol. 40(5), pages 619-633.
    6. Souffriau, Wouter & Vansteenwegen, Pieter & Vanden Berghe, Greet & Van Oudheusden, Dirk, 2011. "The planning of cycle trips in the province of East Flanders," Omega, Elsevier, vol. 39(2), pages 209-213, April.
    7. repec:eee:transe:v:109:y:2018:i:c:p:115-138 is not listed on IDEAS
    8. Salazar-González, Juan-José, 2014. "Approaches to solve the fleet-assignment, aircraft-routing, crew-pairing and crew-rostering problems of a regional carrier," Omega, Elsevier, vol. 43(C), pages 71-82.
    9. Redondo, Juana L. & Fernández, José & Arrondo, Aránzazu G. & García, Inmaculada & Ortigosa, Pilar M., 2012. "Fixed or variable demand? Does it matter when locating a facility?," Omega, Elsevier, vol. 40(1), pages 9-20, January.
    10. Kang, Liujiang & Wu, Jianjun & Sun, Huijun & Zhu, Xiaoning & Wang, Bo, 2015. "A practical model for last train rescheduling with train delay in urban railway transit networks," Omega, Elsevier, vol. 50(C), pages 29-42.
    11. repec:gam:jeners:v:11:y:2018:i:5:p:1248-:d:146256 is not listed on IDEAS
    12. Yang, Lixing & Zhou, Xuesong & Gao, Ziyou, 2014. "Credibility-based rescheduling model in a double-track railway network: a fuzzy reliable optimization approach," Omega, Elsevier, vol. 48(C), pages 75-93.

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