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A Genetic Algorithm to Design Satellite Constellations for Regional Coverage

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Part of the book series: Operations Research Proceedings ((ORP,volume 2000))

Abstract

In this paper we propose a meta-heuristic approach to cope with the satellite constellation design for the telecommunication coverage in limited areas (region coverage). A genetic algorithm, supported by a simulation model and a local search optimisation algorithm, generates non-binary chromosomes, each one representing a constellation with a given coverage and a given number of satellites. The algorithm, following a two-objective strategy, attempts to determine Pareto-optimal constellations with respect to minimum number of satellites and region maximal coverage.

The algorithm performance has been tested by evaluating optimal satellite configurations both for global coverage and for the regional ones and an extensive series of computational tests has been performed in order to validate the meta-heuristic approach proposed for regional coverage.

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References

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© 2001 Springer-Verlag Berlin Heidelberg

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Confessore, G., Di Gennaro, M., Ricciardelli, S. (2001). A Genetic Algorithm to Design Satellite Constellations for Regional Coverage. In: Fleischmann, B., Lasch, R., Derigs, U., Domschke, W., Rieder, U. (eds) Operations Research Proceedings. Operations Research Proceedings, vol 2000. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-56656-1_6

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  • DOI: https://doi.org/10.1007/978-3-642-56656-1_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41587-9

  • Online ISBN: 978-3-642-56656-1

  • eBook Packages: Springer Book Archive

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