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Adaptive Autotuning Mathematical Approaches for Integrated Optimization of Automated Container Terminal

Author

Listed:
  • Meisu Zhong
  • Yongsheng Yang
  • Yamin Zhou
  • Octavian Postolache

Abstract

With the development of automated container terminals (ACTs), reducing the loading and unloading time of operation and improving the working efficiency and service level have become the key point. Taking into account the actual operation mode of loading and unloading in ACTs, a mixed integer programming model is adopted in this study to minimize the loading and unloading time of ships, which can optimize the integrated scheduling of the gantry cranes (QCs), automated guided vehicles (AGVs), and automated rail-mounted gantries (ARMGs) in automated terminals. Various basic metaheuristic and improved hybrid algorithms were developed to optimize the model, proving the effectiveness of the model to obtain an optimized scheduling scheme by numerical experiments and comparing the different performances of algorithms. The results show that the hybrid GA-PSO algorithm with adaptive autotuning approaches by fuzzy control is superior to other algorithms in terms of solution time and quality, which can effectively solve the problem of integrated scheduling of automated container terminals to improve efficiency.

Suggested Citation

  • Meisu Zhong & Yongsheng Yang & Yamin Zhou & Octavian Postolache, 2019. "Adaptive Autotuning Mathematical Approaches for Integrated Optimization of Automated Container Terminal," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-14, November.
    • Handle: RePEc:hin:jnlmpe:7641670
    DOI: 10.1155/2019/7641670
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    Cited by:

    1. Damla Kizilay & Deniz Türsel Eliiyi, 2021. "A comprehensive review of quay crane scheduling, yard operations and integrations thereof in container terminals," Flexible Services and Manufacturing Journal, Springer, vol. 33(1), pages 1-42, March.
    2. Michał Kłodawski & Roland Jachimowski & Norbert Chamier-Gliszczyński, 2024. "Analysis of the Overhead Crane Energy Consumption Using Different Container Loading Strategies in Urban Logistics Hubs," Energies, MDPI, vol. 17(5), pages 1-24, February.
    3. Domenico Gattuso & Domenica Savia Pellicanò, 2023. "HUs Fleet Management in an Automated Container Port: Assessment by a Simulation Approach," Sustainability, MDPI, vol. 15(14), pages 1-19, July.

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