Parallelization of Tree Growth Competition Algorithm and its application in automated design of line antenna

Author

Zhao, Bing ; Guo, Gaiwen

Author_Institution

Centre of Exp. Manage., Zhongzhou Univ., Zhengzhou, China

Volume

3

fYear

2010

fDate

29-31 Oct. 2010

Firstpage

697

Lastpage

701

Abstract

Aiming at the long runtime in the automated design of tree-shaped line antenna, parallelization of Tree Growth Competition Algorithm (TGCA) is presented based on master-slave prototype. Master process performs the competition model of forest dynamical evolution. Slave process performs concurrently the growth-competition model of natural tree to complete time-consuming sunlight fitness calculation. A novel tree-shaped line antenna is designed with end-fire and high gain. It has 5 branches, gain of 9.048dBi, and bandwidth of 8.45%. And the parallel efficiency reaches to 91% in “Yuanmou-IV” Beowulf cluster system of 10 nodes, which validates the parallelized algorithm.

Keywords

antennas; genetic algorithms; trees (mathematics); line antenna design; master process; master-slave prototype; slave process; tree growth competition algorithm; tree-shaped line antenna; Antennas; Computational modeling; Convergence; Tree Growth Competition Algorithm; antenna´s automated design; line antenna; optimization; parallel;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on

Conference_Location

Xiamen

Print_ISBN

978-1-4244-6582-8

Type

conf

DOI

10.1109/ICICISYS.2010.5658276

Filename

5658276