Title :
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
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;
Conference_Titel :
Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-6582-8
DOI :
10.1109/ICICISYS.2010.5658276
