DocumentCode
2311220
Title
A parallel particle swarm optimization approach to designing frequency selective surfaces
Author
Genovesi, S. ; Mittra, R. ; Monorchio, A. ; Manara, G.
Author_Institution
Univ. of Pisa, Pisa
fYear
2007
fDate
9-15 June 2007
Firstpage
1601
Lastpage
1604
Abstract
The particle swarm optimization (PSO) is a powerful and robust method, useful for global optimization problems in a wide variety of applications. This computational paradigm has been introduced by Kennedy and Eberhart and its model is directly related to the organization and behavior of animals which live in groups such as flock of birds or swarm of insects. The set of particles that forms the swarm represents a pool of solutions for the proposed optimization problem.
Keywords
frequency selective surfaces; particle swarm optimisation; computational paradigm; frequency selective surfaces; parallel particle swarm optimization; Animals; Concurrent computing; Design engineering; Design optimization; Frequency selective surfaces; Particle swarm optimization; Power engineering and energy; Power engineering computing; Robustness; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Antennas and Propagation Society International Symposium, 2007 IEEE
Conference_Location
Honolulu, HI
Print_ISBN
978-1-4244-0877-1
Electronic_ISBN
978-1-4244-0878-8
Type
conf
DOI
10.1109/APS.2007.4395816
Filename
4395816
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