论文信息 - Microwave imaging of conducting cylinders using genetic algorithms

Microwave imaging of conducting cylinders using genetic algorithms

A genetic algorithm (GA) approach to the reconstruction of locations and cross section shapes of conducting cylinders from scattered field data is presented. Some GA operators appropriate for the 2-D objects are proposed to achieve a high convergence rate. Several numerical results demonstrate the effectiveness of the GA approach.

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