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Genetic algorithm for satellite customer assignment

Kim, SS and Kim, HJ and Mani, V and Kim, CH (2006) Genetic algorithm for satellite customer assignment. In: 13th International Conference on Neural Informational Processing,, OCT 03-06, 2006, Hong Kong, PEOPLES R CHINA,, pp. 964-973.

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Abstract

The problem of assigning customers to satellite channels is considered. Finding an optimal allocation of customers to satellite channels is a difficult combinatorial optimization problem and is shown to be NP-complete in an earlier study. We propose a genetic algorithm (GA) approach to search for the best/optimal assignment of customers to satellite channels. Various issues related to genetic algorithms such as solution representation, selection methods, genetic operators and repair of invalid solutions are presented. A comparison of this approach with the standard optimization method is presented to show the advantages of this approach in terms of computation time

Item Type: Conference Paper
Additional Information: copyright of this article belongs to Springer.
Department/Centre: Division of Mechanical Sciences > Aerospace Engineering (Formerly, Aeronautical Engineering)
Date Deposited: 04 Aug 2010 07:44
Last Modified: 19 Sep 2010 06:12
URI: http://eprints.iisc.ernet.in/id/eprint/30770

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