Optimization of wireless local area network in IC factory using a jumping-gene paradigm

In this paper, a jumping gene paradigm is proposed to optimize the base station placement for the wireless local area network (WLAN) of an IC factory. In order to offer adequate radio coverage quality for the terminals, the locations of base stations should be correctly determined. Since there is a tradeoff between the signal quality of terminals and the number of allowable base stations, this problem is formulated as a multiobjective optimization problem. Several well-known multiobjective evolutionary algorithms are adopted to compare with our suggested method. Simulation results from this study indicate that the jumping-gene scheme outperforms others for this optimization problem.