S. AL-Sharhan (Kuwait) and W. Gueaieb (Canada)
Fixed-topology, Wireless networks, Population based incremental learning, Tabu Search.
This paper tackles the issue of fixed-topology design problem in wireless networks using recently developed tools of computational intelligence. The design the fixed-topology in a wireless network aims at finding the topology configuration that satisfies the traffic re quirements and performance and reliability constraints with minimal cost. The new multimedia application and the dynamic and rapidly changed environment of the wireless networks make the fixed-topology design a new challenge. The population-based incremental learning, combines in an efficient way the features of genetic algorithms and competitive learning. In this work, an enhanced population-based algorithm is pro posed to handle the fixed-topology design problem in wireless networks.
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