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Inflight Rerouting for an Unmanned Aerial Vehicle

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Genetic and Evolutionary Computation – GECCO 2004 (GECCO 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3103))

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Abstract

The availability of new information can often necessitate rerouting of a vehicle. In [1], the set of nonoverlapping useful vicinities of the reconnaissance sites, S, and the 3D space over them was represented using a discrete graph-model. Here, we consider two cases in which an unmanned reconnaissance aerial vehicle must be rerouted. The first scenario involves not visiting useful vicinities, S t S, due to newly reported unacceptable threatlevels in their neighborhood. In the second scenario, visitations to useful vicinities, S r S, is made redundant due to decreased importance of the sites to which they offer a vantage observation-point. Our earlier graph-model [1] is general enough to provide a basic framework for consideration of rerouting in both cases. We give an algorithm to obtain a graph-model, from the earlier one, that allows efficient gene encoding and efficient application of GA operators to obtain new alternative rerouting plans.

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© 2004 Springer-Verlag Berlin Heidelberg

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Agarwal, A., Lim, MH., Kyaw, M.Y.W., Er, M.J. (2004). Inflight Rerouting for an Unmanned Aerial Vehicle. In: Deb, K. (eds) Genetic and Evolutionary Computation – GECCO 2004. GECCO 2004. Lecture Notes in Computer Science, vol 3103. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24855-2_100

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  • DOI: https://doi.org/10.1007/978-3-540-24855-2_100

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22343-6

  • Online ISBN: 978-3-540-24855-2

  • eBook Packages: Springer Book Archive

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