Optimization of Wireless Body Area Networks Model in Clonal Selection Quantum Genetic Algorithm

摘要：

　　The Wireless Body Area Networks models is not formal with the different facilities.The adaptive choice of the models is very important for each special user.In order to improve the model,the authors optimize the model of Wireless Body Area Networks with the quantum genetic algorithm based on clonal selection.The clonal selection quantum (CSQ) has shown the results of experiment by quantum genetic algorithm and immune clonal selection,and the rate and precision of quantum evolutionary algorithm have been better.It gives encouraging data results when we use the algorithm to the function optimization of Wireless Body Area Networks Model with the introduction of simulation.

关键词： Wireless Body Area Networks(WBAN) models optimize quantum genetic algorithm clonal selection quantum

作者: Huan Wang Lili Guo

作者单位: lnformation And Communication Engineering College of Harbin Engineering University, Harbin,China Information And Communication Engineering College of Harbin Engineering University, Harbin,China

会议类型: 国际会议

会议名称: the 2010 International Conference on Frontiers of Manufacturing and Design Science(第一届制造与设计科学国际会议(ICFMD 2010))

会议地点: 重庆

会议语种:英文

页码: 3125-3129

在线出版日期: 2010-12-11（万方平台首次上网日期，不代表论文的发表时间）