Issue |
MATEC Web of Conferences
Volume 57, 2016
4th International Conference on Advancements in Engineering & Technology (ICAET-2016)
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Article Number | 02015 | |
Number of page(s) | 3 | |
Section | Information Systems & Computer Science Engineering | |
DOI | https://doi.org/10.1051/matecconf/20165702015 | |
Published online | 11 May 2016 |
Solving Fixed Channel Allocation using Hybrid Evolutionary Method
Department of Computer Applications, School of Computing, SASTRA University, Thanjavur, India
a Corresponding author: raja_csmath@cse.sastra.edu
Assigning channels to cells in wireless networks is an NP-hard problem. There are different soft computing strategies are applied to solve fixed channel allocation with the interference constraints of the mobile network. This research focuses on applying the new genetic operators with the local search and heuristic strategies to obtain the near optimal solution. This hybrid evolutionary method is implemented on some of the benchmark instances. Near optimal solution is obtained in the minimal complexity and the results are found to be better than the existing methods.
Key words: Fixed channel allocation / genetic algorithm / cellular networks / evolutionary method
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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