Optimal location management in mobile computing with hybrid genetic algorithm and particle swarm optimization (GA-PSO)

Location management is an important and complex issue in mobile computing. In the reporting cell location management scheme, the concept of reporting cell was introduced to simplify the management process. As a result, there is a need to optimize the allocation design of reporting cells, since it determines the overall location management cost. We present an approach based on particle swarm optimization (PSO) to obtain minimum cost in the location management problem. Genetic algorithms (GA) are used to improve PSO. Simulation results show that the hybrid algorithm can locate the optimal solution in most cases, within a shorter computational time compared with other algorithms.