@inproceedings{1b43e3004a09404eab37bf06189e7ead,
title = "Genetic algorithm for satellite customer assignment",
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.",
author = "Kim, {S. S.} and Kim, {H. J.} and V. Mani and Kim, {C. H.}",
year = "2006",
doi = "10.1007/11893295_106",
language = "English",
isbn = "3540464840",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "964--973",
booktitle = "Neural Information Processing - 13th International Conference, ICONIP 2006, Proceedings",
note = "13th International Conference on Neural Information Processing, ICONIP 2006 ; Conference date: 03-10-2006 Through 06-10-2006",
}