教師資料查詢 | 類別: 期刊論文 | 教師: 丘建青 Chiu Chien-ching (瀏覽個人網頁)

標題:Using NU-SSGA to reduce the searching time in inverse problem of a buried metallic object
學年94
學期1
出版(發表)日期2005/10/01
作品名稱Using NU-SSGA to reduce the searching time in inverse problem of a buried metallic object
作品名稱(其他語言)
著者Chien, Wei; 丘建青; Chiu, Chien-ching
單位淡江大學電機工程學系
出版者Piscataway: Institute of Electrical and Electronics Engineers (IEEE)
著錄名稱、卷期、頁數IEEE Transactions on Antennas and Propagation 53(10), pp.3128-3134
摘要We describe an inverse scattering problem with the aim of reducing the computation time for recovering the details of 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.
關鍵字Cubic-spline; half-space; improved efficient steady-state genetic algorithm; NU-SSGA; inverse problem
語言英文
ISSN0018-926X
期刊性質國外
收錄於SCI;EI
產學合作
通訊作者
審稿制度
國別美國
公開徵稿
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