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In cellular networks design, cell planning is the primary and most important phase before the deployment of the network's infrastructure. Cell planning aims to determine the best Base Stations (BS) placement in a given area, in order to meet traffic and coverage requirements, and to minimize overshooting that may affect user equipments. Overshooting consists in a signal from a given cell forming a discontinuous coverage area in another adjacent cell. In this paper, we develop a novel optimization method for BS planning. Our objective is to reduce the number of deployed BS while minimizing signal overshooting, under capacity constraint. In the proposed approach, cell planning is formulated as a multi-objective problem. Then, a non-dominate sorting genetic algorithm based on Laplace Crossover is applied in order to solve the problem. The proposed algorithm is implemented and simulations under real conditions …