Abstract
This paper considers the meta-heuristic method of ant colony optimization to the problem of assigning customers to satellite channels. It is shown in an earlier study that finding an optimal allocation of customers to satellite channels is a difficult combinatorial optimization problem and is NP-complete. Hence, we propose an ant colony system (ACS) with strategies of ranking and Max-Min ant system (MMAS) for an effective search of the best/optimal assignment of customers to satellite channels under a dynamic environment. Our simulation results show that this methodology is successful in finding an assignment of customers to satellite channels. Three strategies, ACS with only ranking, ACS with only MMAS, and ACS with both ranking and MMAS are considered. A comparison of these strategies are presented to show the performance of each strategy.
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© 2007 Springer Berlin Heidelberg
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Kim, S.S., Kim, H.J., Mani, V., Kim, C.H. (2007). Ant Colony Optimization for Satellite Customer Assignment. In: Stajano, F., Kim, H.J., Chae, JS., Kim, SD. (eds) Ubiquitous Convergence Technology. ICUCT 2006. Lecture Notes in Computer Science, vol 4412. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71789-8_18
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DOI: https://doi.org/10.1007/978-3-540-71789-8_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-71788-1
Online ISBN: 978-3-540-71789-8
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