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A hybrid ant colony and simulated annealing algorithm to solve the container stacking problem at seaport terminal

Author

Listed:
  • Riadh Moussi
  • Jalel Euchi
  • Adnan Yassine
  • Ndèye Fatma Ndiaye

Abstract

In this paper, we study the container stacking problem (CSP) which is one of the most important problems in marine terminal. An optimisation model is developed in order to determine the optimal storage strategy for various container-handling schedules. The objective of the model is to minimise the distance between vessel berthing location and the storage positions of containers. The CSP is solved by an efficient hybrid ant colony and simulated annealing (HAC/SA). The performance of the algorithm proposed is verified by a comparison with ILOG CPLEX for small-sized instances. In addition, numerical results for real-sized instances proved the efficiency of the algorithm.

Suggested Citation

  • Riadh Moussi & Jalel Euchi & Adnan Yassine & Ndèye Fatma Ndiaye, 2015. "A hybrid ant colony and simulated annealing algorithm to solve the container stacking problem at seaport terminal," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 24(4), pages 399-422.
    • Handle: RePEc:ids:ijores:v:24:y:2015:i:4:p:399-422
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    Cited by:

    1. Sourour Aouadni & Jalel Euchi, 2022. "Using Integrated MMD-TOPSIS to Solve the Supplier Selection and Fair Order Allocation Problem: A Tunisian Case Study," Logistics, MDPI, vol. 6(1), pages 1-18, January.
    2. Euchi, Jalel & Kallel, Ahmed, 2021. "Internalization of external congestion and CO2emissions costs related to road transport: The case of Tunisia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 142(C).

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