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Devising a quick-running heuristic for an unmanned aerial vehicle (UAV) routing system

Author

Listed:
  • G W Kinney

    (University of Texas at Austin)

  • R R Hill

    (Wright State University)

  • J T Moore

    (Air Force Institute of Technology, Wright-Patterson Air Force Base)

Abstract

UAVs provide reconnaissance support for the US military and often need operational routes immediately; current practice involves manual route calculation that can involve hundreds of targets and a complex set of operational restrictions. Our research focused on providing an operational UAV routing system. This system required development of a reasonably effective, quick running routing heuristic. We present the statistical methodology used to devise a quick-running routing heuristic that provides reasonable solutions. We consider three candidate local search heuristic approaches, conduct an empirical analysis to parameterize each heuristic, competitively test each candidate heuristic, and provide statistical analysis on the performance of each candidate heuristic to include comparison of the results of the best candidate heuristic against a compilation of the best-known solutions for standard test problems. Our heuristic is a component of the final UAV routing system and provides the UAV operators a tool to perform their route development tasks quickly and efficiently.

Suggested Citation

  • G W Kinney & R R Hill & J T Moore, 2005. "Devising a quick-running heuristic for an unmanned aerial vehicle (UAV) routing system," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(7), pages 776-786, July.
    • Handle: RePEc:pal:jorsoc:v:56:y:2005:i:7:d:10.1057_palgrave.jors.2601867
    DOI: 10.1057/palgrave.jors.2601867
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    References listed on IDEAS

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    Cited by:

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    2. Peng, Rui, 2018. "Joint routing and aborting optimization of cooperative unmanned aerial vehicles," Reliability Engineering and System Safety, Elsevier, vol. 177(C), pages 131-137.

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