Summary
International Symposium on Electromagnetic Compatibility
2014
Session Number:16A2-S
Session:
Number:16A2-S1
Comparison of Steady-State Genetic Algorithm and Asynchronous Particle Swarm Optimization on Inverse Scattering of a Partially Immersed Metallic Cylinder
Chi Hsien Sun, Chien-Hung Chen, Chung-Hsin Huang, Ching-Lieh Li, En-Nung Chiu, San Liang Lee,
pp.-
Publication Date:2014/05/12
Online ISSN:2188-5079
Summary:
The inverse problem under consideration is to reconstruct the characteristic of scatterer from the scattering E field. Steady-state genetic algorithm (SSGA) and asynchronous particle swarm optimization (APSO) are stochastic-type optimization approach that aims to minimize a cost function between measurements and computer-simulated data.Thus, the shape of metallic cylinder can be obtained by minimizing the objective function.After an integral formulation, a discretization using the method of moment (MoM) is applied. Numerical results indicate that the asynchronous particle swarm optimization (APSO) outperforms steady-state genetic algorithm (SSGA) in terms of reconstruction accuracy and convergence speed.