Abstract
This paper presents a technique to design electromagnetic devices by a combination of evolutionary algorithm and electromagnetic (EM) simulation. This technique, named simulation-driven particle swarm optimization (SDPSO), exploits particle swarm optimization (PSO) to design a microwave component matched to user's requirements. To justify the need for such SDPSO, a performance comparison is made between the presented method and built-in PSO in CST Microwave Studio by designing three spatial phase shifters (45°, 90° and 135°) at 9 GHz. Optimization results show that the SDPSO outperforms the available built-in PSO.
| Language | English |
|---|---|
| Title of host publication | Proceedings of the 2016 18th International Conference on Electromagnetics in Advanced Applications, ICEAA 2016 |
| Place of Publication | Piscataway, NJ |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Pages | 428-430 |
| Number of pages | 3 |
| ISBN (Electronic) | 9781467398114 |
| DOIs | |
| Publication status | Published - 2 Nov 2016 |
| Event | 18th International Conference on Electromagnetics in Advanced Applications, ICEAA 2016 - Cairns, Australia Duration: 19 Sep 2016 → 23 Sep 2016 |
Other
| Other | 18th International Conference on Electromagnetics in Advanced Applications, ICEAA 2016 |
|---|---|
| Country | Australia |
| City | Cairns |
| Period | 19/09/16 → 23/09/16 |
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Simulation-driven particle swarm optimization of spatial phase shifters. / Lalbakhsh, A.; Afzal, M. U.; Esselle, K.
Proceedings of the 2016 18th International Conference on Electromagnetics in Advanced Applications, ICEAA 2016. Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE), 2016. p. 428-430 7731418.Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › Research › peer-review
TY - GEN
T1 - Simulation-driven particle swarm optimization of spatial phase shifters
AU - Lalbakhsh, A.
AU - Afzal, M. U.
AU - Esselle, K.
PY - 2016/11/2
Y1 - 2016/11/2
N2 - This paper presents a technique to design electromagnetic devices by a combination of evolutionary algorithm and electromagnetic (EM) simulation. This technique, named simulation-driven particle swarm optimization (SDPSO), exploits particle swarm optimization (PSO) to design a microwave component matched to user's requirements. To justify the need for such SDPSO, a performance comparison is made between the presented method and built-in PSO in CST Microwave Studio by designing three spatial phase shifters (45°, 90° and 135°) at 9 GHz. Optimization results show that the SDPSO outperforms the available built-in PSO.
AB - This paper presents a technique to design electromagnetic devices by a combination of evolutionary algorithm and electromagnetic (EM) simulation. This technique, named simulation-driven particle swarm optimization (SDPSO), exploits particle swarm optimization (PSO) to design a microwave component matched to user's requirements. To justify the need for such SDPSO, a performance comparison is made between the presented method and built-in PSO in CST Microwave Studio by designing three spatial phase shifters (45°, 90° and 135°) at 9 GHz. Optimization results show that the SDPSO outperforms the available built-in PSO.
UR - http://www.scopus.com/inward/record.url?scp=85007299957&partnerID=8YFLogxK
U2 - 10.1109/ICEAA.2016.7731418
DO - 10.1109/ICEAA.2016.7731418
M3 - Conference proceeding contribution
SP - 428
EP - 430
BT - Proceedings of the 2016 18th International Conference on Electromagnetics in Advanced Applications, ICEAA 2016
PB - Institute of Electrical and Electronics Engineers (IEEE)
CY - Piscataway, NJ
ER -