NDLI: An improved evolutionary algorithm combined with simulated annealing to design matching network

Content Provider	IEEE Xplore Digital Library
Author	Liu Ai-Min
Copyright Year	2009
Description	Author affiliation: Department of Computer, Chenzhou Vocational Technical College, Chenzhou, China, 423000 (Liu Ai-Min)
Abstract	In this paper, an improved evolutionary algorithm has been successfully applied to broadband matching network design for antennas. Evolutionary algorithm (EA) and simulated annealing (SA) have been combined to enhance the search efficiency, which can avoid both the slow convergence of EA and the dependence on the initial parameters of SA. Considering the impedance bandwidth and power available from the source delivered to the load, a based on the parallel selection algorithm is used. The broadband matching network over the band 225 to 400MHz has been designed based on this improved hybrid evolutionary algorithm. The results show that the broadband matching network has broad impedance bandwidth and high covering power. The improved EA is an effective method of the broadband antenna matching network design.
Starting Page	121
Ending Page	124
File Size	493025
Page Count	4
File Format	PDF
ISBN	9781424442478
DOI	10.1109/CCCM.2009.5267804
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-08
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Computational modeling Simulated Annealing Communication system control Evolutionary computation Broadband antennas Convergence Evolutionary Algorithm Matching Network Simulated annealing Bandwidth Computer networks Impedance
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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