English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 57310/90913 (63%)
造访人次 : 12999985      在线人数 : 313
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻

    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/100537

    题名: Comparison of Particle Swarm Optimization and Self-Adaptive Dynamic Differential Evolution for the Imaging of a Periodic Conductor
    作者: Cheng, Yu-Ting;Chiu, Chien-Ching;Chang Shuo-Peng;Hsu, Jung-Chin
    贡献者: 電機工程學系暨研究所
    关键词: Inverse scattering
    self-adaptive dynamic differential evolution
    particle swarm optimization
    日期: 2014-08-01
    上传时间: 2015-03-03 23:49:14 (UTC+8)
    摘要: The application of two techniques to reconstruct the shape of a two-dimensional periodic perfect conductor from mimic the measurement data is presented. A periodic conducting cylinder of unknown periodic length and shape scatters the incident wave in half-space and the scattered field is recorded outside. After an integral formulation, the microwave imaging is recast as a nonlinear optimization problem; a cost functional is defined by the norm of a difference between the measured scattered electric fields and the calculated scattered fields for an estimated shape of a conductor. Thus, the shape of conductor can be obtained by minimizing the cost function. In order to solve this inverse scattering problem, transverse magnetic (TM) waves are incident upon the objects and two techniques are employed to solve these problems. The first is based on an particle swarm optimization (PSO) and the second is a self-adaptive dynamic differential evolution (SADDE). Both techniques have been tested in the case of simulated mimic the measurement data contaminated by additive white Gaussian noise. Numerical results indicate that the SADDE algorithm is better than the PSO in reconstructed accuracy and convergence speed.
    關聯: International Journal of Applied Electromagnetics and Mechanics 46(1), p.69-79
    DOI: 10.3233/JAE-141748
    显示于类别:[電機工程學系暨研究所] 期刊論文


    档案 描述 大小格式浏览次数
    Comparison of Particle Swarm Optimization and Self-Adaptive Dynamic Differential Evolution for the Imaging of a Periodic Conductor.pdf766KbAdobe PDF322检视/开启



    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回馈