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المستخلص This dissertation demonstrates the application of a hybrid optimization algorithm of particle swarm optimization and Quasi Newton Optimization method in the problem of inversion of multi layer dielectric slabs. The dissertation also includes a comparison between Genetic Algorithm and Particle Swarm Optimization and a detailed mathematical analysis of the Particle Swarm Optimization Algorithm. This analysis includes a study of particles trajectories, stochastic convergence analysis and analysis of convergence time. The algorithm is designed to reconstruct both continuous and discrete dielectric profile slabs. One of the major advantages of the inversion algorithm is that it does not require priori information about the slab permittivity profile. Different reconstruction models are used and comparison has been done between them. The algorithm was applied to both noise free data and noisy data to study the effect of noise on the results. The algorithm is tested for different dielectric slabs showing satisfactory performance, the reconstructed profiles are very close to the original profiles and the algorithm is robust with noise and with the slab profile. |