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Minimising longest path length in communication satellite payloads via metaheuristics

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Published:06 July 2013Publication History

ABSTRACT

The size and complexity of communication satellite payloads have been increasing very quickly over the last years and their configuration / reconfiguration have become very difficult problems. In this work, we propose to compare the efficiency of three well-known metaheuristic methods to solve an initial configuration problem, which objective is to minimise the length of the longest channel path. Experiments are conducted on real-world problem instances with realistic operational constraints (e.g., a maximum computation time of 10 minutes) and Wilcoxon test is used to determine with statistical confidence what technique is more suitable and what are its limitations. The results of this work will serve as an initial step in our research to design hybrid approaches to push even further the solving capabilities, i.e., tackling bigger payloads and more channels to activate.

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      • Published in

        cover image ACM Conferences
        GECCO '13: Proceedings of the 15th annual conference on Genetic and evolutionary computation
        July 2013
        1672 pages
        ISBN:9781450319638
        DOI:10.1145/2463372
        • Editor:
        • Christian Blum,
        • General Chair:
        • Enrique Alba

        Copyright © 2013 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 6 July 2013

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        GECCO '13 Paper Acceptance Rate204of570submissions,36%Overall Acceptance Rate1,669of4,410submissions,38%

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