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Mission Planning for Regional Surveillance

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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.

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Authors and Affiliations

  1. Centre for Industrial and Applicable Mathematics, University of South Australia, Mawson Lakes Campus, Mawson Lakes Blvd, Mawson Lakes, South Australia, 5095

    Maria John

Authors
  1. Maria John
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  2. David Panton
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  3. Kevin White
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John, M., Panton, D. & White, K. Mission Planning for Regional Surveillance. Annals of Operations Research 108, 157–173 (2001). https://doi.org/10.1023/A:1016063129217

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  • DOI: https://doi.org/10.1023/A:1016063129217

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