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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Citation Formats

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.