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
Link To Document :
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