Acceleration near field interaction in half-space MLFMA by means of genetic algorithm

Bi Yi Wu*, Xin Qing Sheng

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

The discrete complex images methods(DCIMs) are commonly used in half space multilevel fast multipole algorithm(MLFMA) to approximate sommerfeld integral(SI) in spatial domain Green's functions. Although DCIMs provide a much faster solution to evaluate the SIs comparing to numerical integral methods, the near field interaction calculation is still a dominant load in MLFMA due to the large number of complex images from DCIMs. To reduce number of complex images, a genetic algorithm(GA) is used only for near field only for calculating near field of Green's functions. Thus the efficiency of near field matrix filling of half space MLFMA is improved as demonstrated by numerical examples.

Original languageEnglish
Title of host publication2014 IEEE Antennas and Propagation Society International Symposium(APSURSI)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages753-754
Number of pages2
ISBN (Electronic)9781479935406
DOIs
Publication statusPublished - 18 Sept 2014
Event2014 IEEE Antennas and Propagation Society International Symposium, APSURSI 2014 - Memphis, United States
Duration: 6 Jul 201411 Jul 2014

Publication series

NameIEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
ISSN (Print)1522-3965

Conference

Conference2014 IEEE Antennas and Propagation Society International Symposium, APSURSI 2014
Country/TerritoryUnited States
CityMemphis
Period6/07/1411/07/14

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