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Mission Planning for Regional Surveillance

Author

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  • Maria John
  • David Panton
  • Kevin White

Abstract

The regional surveillance problem discussed here involves formulating a flight route for an aircraft to scan a given geographical region. Aerial surveillance is conducted using a synthetic aperture radar device mounted on the aircraft to compose a complete, high-resolution image of the region. Two models for determining an optimised flight route will be described, the first employing integer programming and the second, genetic algorithms. A comparison of the solution optimality in terms of the total distance travelled, and model efficiency of the two techniques in terms of their required CPU times, will be made in order to identify the conditions under which it is appropriate to apply each model. Copyright Kluwer Academic Publishers 2001

Suggested Citation

  • Maria John & David Panton & Kevin White, 2001. "Mission Planning for Regional Surveillance," Annals of Operations Research, Springer, vol. 108(1), pages 157-173, November.
    • Handle: RePEc:spr:annopr:v:108:y:2001:i:1:p:157-173:10.1023/a:1016063129217
    DOI: 10.1023/A:1016063129217
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    Cited by:

    1. Orhan Karasakal, 2016. "Minisum and maximin aerial surveillance over disjoint rectangles," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 24(3), pages 705-724, October.
    2. K Y K Ng & N G F Sancho, 2009. "Regional surveillance of disjoint rectangles: a travelling salesman formulation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(2), pages 215-220, February.

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