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A hybrid parallel genetic algorithm for yard crane scheduling

Author

Listed:
  • He, Junliang
  • Chang, Daofang
  • Mi, Weijian
  • Yan, Wei

Abstract

This paper aims at postulating a novel strategy in terms of yard crane scheduling. In this study, a dynamic scheduling model using objective programming for yard cranes is initially developed based on rolling-horizon approach. To resolve the NP-complete problem regarding the yard crane scheduling, a hybrid algorithm, which employs heuristic rules and parallel genetic algorithm (PGA), is then employed. Then a simulation model is developed for evaluating this approach. Finally, numerical experiments on a specific container terminal yard are used for system illustration. Computational results suggest that the proposed method is able to solve the problem efficiently.

Suggested Citation

  • He, Junliang & Chang, Daofang & Mi, Weijian & Yan, Wei, 2010. "A hybrid parallel genetic algorithm for yard crane scheduling," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(1), pages 136-155, January.
    • Handle: RePEc:eee:transe:v:46:y:2010:i:1:p:136-155
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    Citations

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    Cited by:

    1. Yan Zheng & Meixian Xu & Zhaohu Wang & Yujie Xiao, 2023. "A Genetic Algorithm for Integrated Scheduling of Container Handing Systems at Container Terminals from a Low-Carbon Operations Perspective," Sustainability, MDPI, vol. 15(7), pages 1-21, March.
    2. Xiao-Ming Yang & Xin-Jia Jiang, 2020. "Yard Crane Scheduling in the Ground Trolley-Based Automated Container Terminal," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 37(02), pages 1-28, March.
    3. Zhen, Lu, 2014. "Container yard template planning under uncertain maritime market," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 69(C), pages 199-217.
    4. Ji, Mingjun & Guo, Wenwen & Zhu, Huiling & Yang, Yongzhi, 2015. "Optimization of loading sequence and rehandling strategy for multi-quay crane operations in container terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 80(C), pages 1-19.
    5. Jiang, Xin Jia & Jin, Jian Gang, 2017. "A branch-and-price method for integrated yard crane deployment and container allocation in transshipment yards," Transportation Research Part B: Methodological, Elsevier, vol. 98(C), pages 62-75.
    6. Carlo, Héctor J. & Vis, Iris F.A. & Roodbergen, Kees Jan, 2014. "Storage yard operations in container terminals: Literature overview, trends, and research directions," European Journal of Operational Research, Elsevier, vol. 235(2), pages 412-430.
    7. Yu, Dayong & Li, Dong & Sha, Mei & Zhang, Dali, 2019. "Carbon-efficient deployment of electric rubber-tyred gantry cranes in container terminals with workload uncertainty," European Journal of Operational Research, Elsevier, vol. 275(2), pages 552-569.
    8. Harry Geerlings & Robert Heij & Ron van Duin, 2018. "Opportunities for peak shaving the energy demand of ship-to-shore quay cranes at container terminals," Journal of Shipping and Trade, Springer, vol. 3(1), pages 1-20, December.
    9. Kaveshgar, Narges & Huynh, Nathan, 2015. "Integrated quay crane and yard truck scheduling for unloading inbound containers," International Journal of Production Economics, Elsevier, vol. 159(C), pages 168-177.
    10. Unsal, Ozgur & Oguz, Ceyda, 2013. "Constraint programming approach to quay crane scheduling problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 59(C), pages 108-122.
    11. Zhen, Lu & Shen, Tao & Wang, Shuaian & Yu, Shucheng, 2016. "Models on ship scheduling in transshipment hubs with considering bunker cost," International Journal of Production Economics, Elsevier, vol. 173(C), pages 111-121.
    12. Coen H. H. Battum & Bart Wiegmans & Bilge Atasoy & Erwin Wingerden & Arjen Waal & Lóránt A. Tavasszy, 2023. "Performance improvements in container terminals through the bottleneck mitigation cycle," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 25(1), pages 174-195, March.
    13. Schryen, Guido, 2020. "Parallel computational optimization in operations research: A new integrative framework, literature review and research directions," European Journal of Operational Research, Elsevier, vol. 287(1), pages 1-18.
    14. Gharehgozli, A.H. & Roy, D. & de Koster, M.B.M., 2014. "Sea Container Terminals," ERIM Report Series Research in Management ERS-2014-009-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

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