Significance of neighborhood topologies for the reconstruction of microwave images using particle swarm optimization

Recently, the use of the particle swarm optimization (PSO) technique for the reconstruction of microwave images has been reported. However, the standard version of the PSO technique may suffer from the problem of premature convergence, as the particles are communicating through a fully connected social structure. In this paper, different social structures have been considered for better performances of the PSO technique, and simulation results have shown that neighborhood topologies such as the lbest and von Neumann topologies should be considered for global optimization problems such as the reconstruction of microwave images.