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Hybrid Genetic Simulated Annealing Algorithm (HGSAA) to Solve Storage Container Problem in Port

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Intelligent Information and Database Systems (ACIIDS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7197))

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Abstract

Container terminals play an important role in marine transportation; they constitute transfer stations to multimodal transport. In this paper, we study the storage of containers. We model the seaport system as a container location model, with an objective function designed to minimize the distance between the vessel berthing locations and the storage zone. Due to the inherent complexity of the problem, we propose a hybrid algorithm based on genetic (GA) and simulated annealing (SA) algorithm. In this paper, three different forms of integration between GA and SA are developed. In order to prove the efficiency of the HGSAAs proposed are compared to the optimal solutions for small-scale problems of an exact method which is Branch and Bound using the commercial software ILOG CPLEX. Computational results on real dimensions taken from the terminal of Normandy, Le Havre port, France, show the good quality of the solutions obtained by the HGSAAs.

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Author information

Authors and Affiliations

  1. Laboratory of Applied Mathematics of Le Havre (LMAH), Le Havre University, 25 rue Philippe Lebon, B.P. 540, 76058, Le Havre Cedex, France

    Riadh Moussi, Ndèye Fatma Ndiaye & Adnan Yassine

  2. Superior Institute of Logistics Studies (ISEL), Quai Frissard, B.P. 1137, 76063, Le Havre Cedex, France

    Riadh Moussi, Ndèye Fatma Ndiaye & Adnan Yassine

Authors
  1. Riadh Moussi
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  2. Ndèye Fatma Ndiaye
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  3. Adnan Yassine
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Editor information

Editors and Affiliations

  1. Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, No. 415, Chien-Kung Road, 80778, Kaohsiung, Taiwan

    Jeng-Shyang Pan

  2. Graduate Institute of Educational Measurement and Statistics, National Taichung University of Education, No. 140, Min-Shen Road, 40306, Taichung, Taiwan

    Shyi-Ming Chen

  3. Wrocław University of Technology, Wyb. Wyspiańskiego 27, 50-370, Wrocław, Poland

    Ngoc Thanh Nguyen

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© 2012 Springer-Verlag Berlin Heidelberg

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Moussi, R., Ndiaye, N.F., Yassine, A. (2012). Hybrid Genetic Simulated Annealing Algorithm (HGSAA) to Solve Storage Container Problem in Port. In: Pan, JS., Chen, SM., Nguyen, N.T. (eds) Intelligent Information and Database Systems. ACIIDS 2012. Lecture Notes in Computer Science(), vol 7197. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28490-8_32

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  • DOI: https://doi.org/10.1007/978-3-642-28490-8_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28489-2

  • Online ISBN: 978-3-642-28490-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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