In this paper we model the problem of base station migration as an optimization issue by the use of particle swarm algorithm in order to minimize a target goal which is a weighted function of network coverage, traffic, energy consumption and the cost of infrastructure. We then compare the results with those obtained by applying the genetic algorithm under the same conditions. Overall, genetic algorithms are more efficient than particle swarms for the network migration problem.

Keywords : Cellular network planning, Genetic Algorithm, Particle swarm optimisation.