کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
447730 | 1443190 | 2011 | 8 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Hybrid of genetic algorithm with particle swarm optimization to shape reconstruction of perfect conducting cylinders Hybrid of genetic algorithm with particle swarm optimization to shape reconstruction of perfect conducting cylinders](/preview/png/447730.png)
In this study, the shape reconstruction of conducting cylinders by making use of electromagnetic scattered fields is presented. Based on the boundary condition and the measured scattered field, a set of nonlinear integral equations is derived and the imaging problem is reformulated in to an optimization problem. A hybrid evolutionary algorithm suitable for the optimization of large-domain electromagnetic problems is proposed for the solution of the inverse scattering problem arising in microwave-imaging applications. The hybrid technique, called genetical swarm optimization (GSO), combines genetic algorithms (GA) and particle swarm optimization (PSO). In such a framework, this paper is aimed at assessing the effectiveness of the proposed approach in locating and shaping of unknown two-dimensional perfect conducting cylinders. Reconstructions of conducting scatterers from experimental inverse scattering data are finally presented to demonstrate the accuracy and efficiency of the hybrid technique.
Journal: AEU - International Journal of Electronics and Communications - Volume 65, Issue 12, December 2011, Pages 1032–1039