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Shape Optimizations of Metallic Sheets Using a Multigrid Approach
Date
2017-09-27
Author
Altinoklu, Askin
Karaova, Gokhan
Ergül, Özgür Salih
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We present a novel multigrid approach for the shape optimizations of corrugated metallic sheets by using genetic algorithms (GAs) and the multilevel fast multipole algorithm (MLFMA). The overall mechanism is obtained by an efficient integration of GAs and MLFMA, while the optimizations are improved by applying multiple grids at different layers. We show that the multigrid approach provides more effective optimizations than the conventional no-grid optimizations that employ the discretization nodes directly. The multigrid optimizations become useful especially as the problem size grows and no-grid optimizations demonstrate poor performances.
Subject Keywords
Corrugated metals
,
Fast algorithms
,
Genetic Algorithms
,
Power focusing
,
Shape optimizations
URI
https://hdl.handle.net/11511/53309
Conference Name
4th International Electromagnetic Compatibility Conference (EMC Turkiye)
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
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A. Altinoklu, G. Karaova, and Ö. S. Ergül, “Shape Optimizations of Metallic Sheets Using a Multigrid Approach,” presented at the 4th International Electromagnetic Compatibility Conference (EMC Turkiye), Ankara, TURKEY, 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/53309.