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Optimization of container inspection strategy via a genetic algorithm

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  • Stuart Weele
  • Jose Ramirez-Marquez

Abstract

It is estimated that 90% of the world’s freight is moved as containerized cargo, with over 125 million TEUs (Twenty foot Equivalent Units) of container being shipped by 2010. To inspect this volume of cargo for explosives, drugs or other contraband is a daunting challenge. This paper presents an optimization technique for developing an inspection strategy that will provide a specified detection rate for containers containing contraband at a minimum cost. Nested genetic algorithms are employed to optimize the topology of an inspection strategy decision tree, the placement of sensors on the tree and the sensor thresholds which partition suspicious containers (containers believed to contain contraband) from innocuous containers (containers which are believed to be free of contraband). The results of this optimization technique are compared to previously published techniques. Copyright Springer Science+Business Media, LLC 2011

Suggested Citation

  • Stuart Weele & Jose Ramirez-Marquez, 2011. "Optimization of container inspection strategy via a genetic algorithm," Annals of Operations Research, Springer, vol. 187(1), pages 229-247, July.
    • Handle: RePEc:spr:annopr:v:187:y:2011:i:1:p:229-247:10.1007/s10479-010-0701-6
    DOI: 10.1007/s10479-010-0701-6
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    References listed on IDEAS

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    1. Olapiriyakul, Sun & Das, Sanchoy, 2007. "Design and analysis of a two-stage security screening and inspection system," Journal of Air Transport Management, Elsevier, vol. 13(2), pages 67-74.
    2. Van Volsem, Sofie & Dullaert, Wout & Van Landeghem, Hendrik, 2007. "An Evolutionary Algorithm and discrete event simulation for optimizing inspection strategies for multi-stage processes," European Journal of Operational Research, Elsevier, vol. 179(3), pages 621-633, June.
    3. Ramirez-Marquez, Jose Emmanuel, 2008. "Port-of-entry safety via the reliability optimization of container inspection strategy through an evolutionary approach," Reliability Engineering and System Safety, Elsevier, vol. 93(11), pages 1698-1709.
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    Citations

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    Cited by:

    1. Yongxi Cheng & Ding-Zhu Du & Feifeng Zheng, 2015. "A new strongly competitive group testing algorithm with small sequentiality," Annals of Operations Research, Springer, vol. 229(1), pages 265-286, June.
    2. Stuart Van Weele & Jose Emmanuel Ramirez-Marquez, 2012. "Optimization of inspection for dual contraband using a genetic algorithm," Journal of Risk and Reliability, , vol. 226(5), pages 508-525, October.
    3. Yan, Xihong & Nie, Xiaofeng, 2016. "Optimal placement of multiple types of detectors under a small vessel attack threat to port security," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 93(C), pages 71-94.

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