Optimal Design of Matched Load by Immune Micro Genetic Algorithm

摘要：

Genetic algorithm (GA) is an efficient approach for optimize,combining GA with immune operator and micro technique,immune micro genetic algorithm (IMGA) is developed. In the process of the algorithm,simulated annealing,niche skill and shue scheme are added, too. IMGA can optimize the initial population and efficiently reduce the memory requirement. Comparing with simple genetic algorithm (SGA), the operating time of the presented method is cut down obviously and computing efficiency is improved dramatically. It is successful to design the short matched load of rectangular waveguide in terms of IMGA. The methodology may be extended,in principle, to other similar problems.

作者: Yubo Tian Jian Qian Fei Meng

作者单位: Jiangsu University of Science and Technology,China Nanjing University,China

会议类型: 国际会议

会议名称: Progress in Electromagnetics Research Symposium 2005(2005年电磁学研究新进展学术研讨会)(PIERS 2005)

会议地点: 杭州

会议语种:英文

页码: 101-104

在线出版日期: 2005-08-22（万方平台首次上网日期，不代表论文的发表时间）