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An orienteering model for the search and rescue problem

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  • Adel Guitouni
  • Hatem Masri

Abstract

In this paper, we propose a new model for the search and rescue problem. We focus on the case of a single airborne search asset through a connected space and continuous time with a maximum travel time $$T$$ T . The intent is to maximize the detection of a cooperative target (search and rescue). The proposed model is based on the assumption of existing a priori information (e.g., result of information fusion process) to establish a spatial distribution of probability of containment in possible geographic locations. The possibility area is defined using a cut threshold on the probability of containment and the search path as well as the allocation of the level of effort to each region in the search space is obtained based on an orienteering model. We illustrate the application of the proposed model on an empirical example. Copyright Springer-Verlag Berlin Heidelberg 2014

Suggested Citation

  • Adel Guitouni & Hatem Masri, 2014. "An orienteering model for the search and rescue problem," Computational Management Science, Springer, vol. 11(4), pages 459-473, October.
    • Handle: RePEc:spr:comgts:v:11:y:2014:i:4:p:459-473
    DOI: 10.1007/s10287-013-0179-1
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    References listed on IDEAS

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    1. Abi-Zeid, Irene & Frost, John R., 2005. "SARPlan: A decision support system for Canadian Search and Rescue Operations," European Journal of Operational Research, Elsevier, vol. 162(3), pages 630-653, May.
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    5. Kara, Imdat & Laporte, Gilbert & Bektas, Tolga, 2004. "A note on the lifted Miller-Tucker-Zemlin subtour elimination constraints for the capacitated vehicle routing problem," European Journal of Operational Research, Elsevier, vol. 158(3), pages 793-795, November.
    6. James N. Eagle, 1984. "The Optimal Search for a Moving Target When the Search Path Is Constrained," Operations Research, INFORMS, vol. 32(5), pages 1107-1115, October.
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    Cited by:

    1. Yu Guo & Yanqing Ye & Qingqing Yang & Kewei Yang, 2019. "A Multi-Objective INLP Model of Sustainable Resource Allocation for Long-Range Maritime Search and Rescue," Sustainability, MDPI, vol. 11(3), pages 1-25, February.
    2. Yu, Qinxiao & Fang, Kan & Zhu, Ning & Ma, Shoufeng, 2019. "A matheuristic approach to the orienteering problem with service time dependent profits," European Journal of Operational Research, Elsevier, vol. 273(2), pages 488-503.

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