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A hybrid parallel genetic algorithm for yard crane scheduling

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  • 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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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.

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