Parallelization of Tree Growth Competition Algorithm and Its Application in Automated Design of Line Antenna
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.
optimization Tree Growth CompetitionAlgorithm parallel line antenna antennas automated design
Bing Zhao Gaiwen Guo
Centre of Experimental Management 7hongzhou University Zhengzhou, 450044, China Key Disciplines of Computer Application Department of Information Technology Henan Institute of Educ
国际会议
厦门
英文
697-701
2010-10-29（万方平台首次上网日期，不代表论文的发表时间）