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Full wave electromagnetic optimizations using surface integral equations and the multilevel fast multipole algorithm
Date
2016-08-11
Author
KARAOSMANOGLU, BARISCAN
ONOL, CAN
GULER, SADRI
ALTINOKLU, ASKIN
Ergül, Özgür Salih
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We present an electromagnetic optimization environment based on full-wave solutions via surface integral equations and the multilevel fast multipole algorithm (MLFMA). Optimizations are performed by using genetic algorithms, while the required trials are performed accurately via MLFMA. The developed mechanism can handle many different operations, such as portion moving/removing, rotation, and gap opening, that have different effects in the constructed matrix equations but that can efficiently be executed in numerical simulations. The effectiveness of the optimization environment is demonstrated on alternative problems, such as the design of pixel antennas and corrugated sheets for optimal electromagnetic responses.
Subject Keywords
Scattering
,
Antennas
,
Efficient
URI
https://hdl.handle.net/11511/36491
DOI
https://doi.org/10.1109/piers.2016.7734316
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
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BibTeX
B. KARAOSMANOGLU, C. ONOL, S. GULER, A. ALTINOKLU, and Ö. S. Ergül, “Full wave electromagnetic optimizations using surface integral equations and the multilevel fast multipole algorithm,” 2016, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/36491.
