The use of genetic algorithms to maximize the performance of a partially lined screened room

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This paper shows that it is possible to use genetic algorithms to optimize the layout of ferrite tile absorber in a partially lined screened enclosure to produce a "best" performance. The enclosure and absorber are modeled using TLM modeling techniques and the performance is determined by comparison with theoretical normalized site attenuation of free space. The results show that it is possible to cover just 80% of the surface of the enclosure with ferrite absorber and obtain a response which is within +/-4 dB of the free space response between 40 and 200 MHz.

Original languageEnglish
Pages (from-to)233-242
Number of pages10
JournalIEEE Transactions on Electromagnetic Compatibility
Issue number1
Publication statusPublished - Feb 2002

Bibliographical note

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  • anechoic chamber
  • ferrite absorber
  • genetic algorithms
  • optimization
  • screened room
  • transmission line matrix
  • NODE

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