淡江大學機構典藏:Item 987654321/80812
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    題名: Inverse problem of a buried metallic object
    作者: Chien, Wei;HuangChung-Hsin;Lin, Chun Jen;Chiu, Chien-Ching
    貢獻者: 淡江大學電機工程學系
    日期: 2005
    上傳時間: 2013-03-07 14:01:06 (UTC+8)
    出版者: New York: Institute of Electrical and Electronics Engineers (IEEE)
    摘要: In this paper we address an inverse scattering problem whose aim is to discuss the CPU time for recovering a perfectly conducting cylindrical object buried in a half-space. First, we use Fourier-series or cubic-spline methods to describe the shape and reformulate the inverse problem into an optimization one. Then we solved it by the improved steady state genetic algorithm (SSGA) and simple genetic algorithm (SGA) respectively and compare the cost time in finding out the global extreme solution of the objective function. It is found the searching ability of SSGA is much powerful than that of the SGA. Even when the initial guess is far away from the exact one, the cost time for converging to a global extreme solution using by SSGA is much less than that by SGA. Numerical results are given to show that the inverse problem by using SSGA is much better than SGA in time costing.
    關聯: Microwave Conference, 2005 European, pp.4
    DOI: 10.1109/EUMC.2005.1610041
    顯示於類別:[電機工程學系暨研究所] 會議論文

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