DocumentCode
3460965
Title
Notice of Retraction
Pattern synthesis for antenna arrays using chaotic PSO algorithm
Author
Weibo Wang ; Quanyuan Feng
Author_Institution
Sch. of Electr. Inf., Xihua Univ., Chengdu, China
Volume
3
fYear
2010
fDate
12-13 June 2010
Firstpage
360
Lastpage
363
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
To deal with pattern synthesis of antenna arrays, this paper presents a novel Chaotic Particle Swarm Optimization algorithm (CPSO) to avoid the premature phenomenon of PSO algorithm. The new algorithm uses a comprehensive learning strategy to make the particles have different learning exemplars for different dimensions. The area of the chaotic searching region can be adaptively adjusted according to the distance of the particle´s personal best position and the comprehensive position. The simulation results show that it achieves relatively high performance by applying CPSO in the pattern synthesis of antenna arrays.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
To deal with pattern synthesis of antenna arrays, this paper presents a novel Chaotic Particle Swarm Optimization algorithm (CPSO) to avoid the premature phenomenon of PSO algorithm. The new algorithm uses a comprehensive learning strategy to make the particles have different learning exemplars for different dimensions. The area of the chaotic searching region can be adaptively adjusted according to the distance of the particle´s personal best position and the comprehensive position. The simulation results show that it achieves relatively high performance by applying CPSO in the pattern synthesis of antenna arrays.
Keywords
antenna arrays; antenna radiation patterns; chaos; particle swarm optimisation; CPSO algorithm; antenna array; chaotic PSO algorithm; chaotic particle swarm optimization; chaotic searching region; comprehensive learning; pattern synthesis; Antennas; Decorrelation; Educational institutions; Optimization; Antenna array; Particle Swarm Optimization (PSO); chaotic search;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Communication Technologies in Agriculture Engineering (CCTAE), 2010 International Conference On
Conference_Location
Chengdu
Print_ISBN
978-1-4244-6944-4
Type
conf
DOI
10.1109/CCTAE.2010.5543349
Filename
5543349
Link To Document