Abstract
There is a continuously growing demand for mobile communication. With the limited frequency spectrum, the problem of channel assignment becomes increasingly important. This problem is known to belong to a class of very difficult combinatorial optimization problems. In this paper, we apply the formulation of Ngo and Li with genetic algorithms to ten benchmarking problems, for some of which interference-free solutions cannot be found but the approach is able to minimize the interference effectively. © 2002 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Li, S., Lay, S. C., Yu, W. H., & Wang, L. (2002). Minimizing interference in mobile communications using genetic algorithms. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2329 LNCS, pp. 960–969). Springer Verlag. https://doi.org/10.1007/3-540-46043-8_97
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