DocumentCode :
125803
Title :
Black-hole PSO for antennas optimization
Author :
Ruello, M. ; Gonano, C.A. ; Mussetta, M. ; Pirinoli, Paola ; Zich, Riccardo E.
Author_Institution :
Dipt. di Energia, Politec. di Milano, Milan, Italy
fYear :
2014
fDate :
16-23 Aug. 2014
Firstpage :
1
Lastpage :
4
Abstract :
In the past years Particle Swarm Optimization (PSO) has gained increasing attention for engineering and real-world applications. Among these, the design of antennas and electromagnetic devices is a well-established field of application. Black-hole PSO (bhPSO) is a novel version of PSO, which is here considered for antennas optimization. It is based on the concept of repulsion among particles when they get stuck in local optima. The design of a planar array is here addressed in order to assess its performances on a benchmark EM optimization problem. Reported results show its effectiveness in dealing with antenna optimization.
Keywords :
black holes; particle swarm optimisation; planar antenna arrays; EM optimization problem; antenna optimization; bhPSO; black-hole PSO; electromagnetic devices; particle swarm optimization; planar array antennas; Arrays; Benchmark testing; Linear programming; Optimization; Particle swarm optimization; Planar arrays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
General Assembly and Scientific Symposium (URSI GASS), 2014 XXXIth URSI
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/URSIGASS.2014.6929168
Filename :
6929168
Link To Document :
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