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2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA) (2018)
Krakow, Poland
May 16, 2018 to May 18, 2018
ISSN: 1550-445X
ISBN: 978-1-5386-2195-0
pp: 678-685
ABSTRACT
The Wireless Mesh Networks (WMNs) have low cost and high speed wireless Internet connectivity, therefore they are becoming an important networking infrastructure. In our previous work, we implemented a hybrid intelligent system based on Particle Swarm Optimization (PSO) and Hill Climbing (HC), called WMN-PSOHC, and a simulation system based on Genetic Algorithm (GA), called WMN-GA, for solving node placement problem in WMNs. In this paper, we implement a new hybrid simulation system based on PSOHC and distributed GA (DGA), called WMN-PSOHC-DGA. We evaluate WMN-PSOHC-DGA system by computer simulations. The simulation results show that the WMN-PSOHC-DGA system has a better performance compared with WMN-PSODGA.
INDEX TERMS
genetic algorithms, Internet, particle swarm optimisation, wireless mesh networks
CITATION

S. Sakamoto, A. Barolli, L. Barolli and M. Takizawa, "Design and Implementation of a Hybrid Intelligent System Based on Particle Swarm Optimization, Hill Climbing and Distributed Genetic Algorithm for Node Placement Problem in WMNs: A Comparison Study," 2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA), Krakow, Poland, 2018, pp. 678-685.
doi:10.1109/AINA.2018.00103
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