An improved real coded quantum genetic algorithm and its applications

摘要：

In this paper, an new quantum genetic algorithm (RQGA) is presented to enhance the global optimization capability. Different from previous quantum genetic algorithm, the proposed RQGA uses real-coded replacing binary code, and uses approximation operator replacing rotation gate. RQGA can accelerate the convergence speed, and improve the solution precision.The results of function optimization and 0-1 knapsack problem show that RQGA is an effective algorithm.

关键词： Real code Approximation operator Quantum genetic algorithm

作者: Xinli Xu Jiajing Jiang Jing Jie Haiyan Wang Wanliang Wang

作者单位: College of Computer Science and Technology Zhejiang University of Technology, ZJUT Hangzhou, P.R.Chi College of Information Engineering Zhejiang University of Technology, ZJUT Hangzhou, P.R.China College of Computer Science and Technology Zhejiang University of Technology, ZJUT Hangzhou, P.R.Chi

会议类型: 国际会议

会议名称: International Conference on Computational Aspects of Social Networks(国际社会网络计算会议 CASoN 2010)

会议地点: 太原

会议语种:英文

页码: 307-310

在线出版日期: 2010-09-26（万方平台首次上网日期，不代表论文的发表时间）