DocumentCode
1900911
Title
Wind Driven Optimization (WDO): A novel nature-inspired optimization algorithm and its application to electromagnetics
Author
Bayraktar, Zikri ; Komurcu, Muge ; Werner, Douglas H.
Author_Institution
Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA
fYear
2010
fDate
11-17 July 2010
Firstpage
1
Lastpage
4
Abstract
This paper introduces a novel nature-inspired global optimization technique, which we call Wind Driven Optimization. WDO is a population based iterative global optimization method, where the velocity and the position of wind controlled air parcels are updated based on the physical equations that govern atmospheric motion. The effectiveness of WDO as a tool in optimization problems is first shown with its performance on benchmark functions and then with its application to optimizing the design for a thin double-sided AMC surface at 10 GHz.
Keywords
electromagnetism; optimisation; atmospheric motion; double-sided AMC surface; electromagnetics; frequency 10 GHz; iterative global optimization method; nature-inspired optimization algorithm; wind driven optimization; Atmosphere; Electromagnetics; Equations; Force; Frequency selective surfaces; Meteorology; Optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Antennas and Propagation Society International Symposium (APSURSI), 2010 IEEE
Conference_Location
Toronto, ON
ISSN
1522-3965
Print_ISBN
978-1-4244-4967-5
Type
conf
DOI
10.1109/APS.2010.5562213
Filename
5562213
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