Design of Fragment-Type Antenna Structure Using an Improved BPSO

An improved binary particle swarm optimization (BPSO) algorithm is proposed for the design of high-dimensional, multifunctional, and compact fragment-type antenna (FTA). First, orthogonal array-based initialization instead of randomized initialization is employed to uniformly sample the design space...

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Bibliographic Details
Published in:IEEE transactions on antennas and propagation Vol. 66; no. 2; pp. 564 - 571
Main Authors: Dong, Jian, Li, Qianqian, Deng, Lianwen
Format: Journal Article
Language:English
Published: New York IEEE 01.02.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithm design and analysis
Band-notched UWB antenna
binary particle swarm optimization (BPSO)
fragment-type antenna (FTA)
Microstrip antennas
multiband antenna
Optimization
orthogonal array (OA)
Particle swarm optimization
Sociology
Statistics
transfer function
Transfer functions
ISSN:0018-926X, 1558-2221
Online Access:Get full text
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Summary:An improved binary particle swarm optimization (BPSO) algorithm is proposed for the design of high-dimensional, multifunctional, and compact fragment-type antenna (FTA). First, orthogonal array-based initialization instead of randomized initialization is employed to uniformly sample the design space for better population diversity. Then, a new transfer function with a time-variant transfer factor is proposed to improve the problem of easily falling into local optimum in basic BPSO. Experimental results of the two miniaturized FTA designs show that the proposed BPSO exhibits better convergence performance than that of other published discrete optimization algorithms and can provide excellent candidates for the internal miniaturized antenna designs in wireless and portable applications.
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ISSN:0018-926X
1558-2221
DOI:10.1109/TAP.2017.2778763