This paper presents the use of a Multi-Objective Genetic Algorithm (MOGA) for solving an access point placement problem in a wireless LAN. The aim of the placement is to maximize signal coverage over the interested area. The placement problem has been formulated as a multi-objective optimization problem where the decision variables are derived from the locations of the access points in the target area. The objectives consist of the number of access points and the average SNR over the whole area. The major advantage of using MOGA is that multiple optimal placement configurations for different numbers of access points can be obtained from a single run. A set of solutions provides more alternatives to the network designer.
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