A Hybrid Quantum Genetic Algorithm Based On Clonal Selection Principle

摘要：

A hybrid quantum genetic algorithm (HQGA) is presented in this paper, based on the concept and principle of clonal selection. In the framework of this proposed algorithm,quantum genetic procedure is used to find coarse solutions.The clone selection and affinity maturation process procedure is used to find the finer solution. The power of this proposed algorithm comes from the fact that it embodies that evolutionary computing with the qubit representation has a better diversity characteristic and that the clonal selection and affinity maturation process enhances the solution quality.Several examples are demonstrated here to confirm the above claims.

关键词： Quantum Genetic Clonal Selection Principle Hybrid Algorithm

作者: Bin Han Xin Zuo Qianqian Luo Bin Su Shitong Wang

作者单位: School of Information, Southern Yangtse University, WuXi, Jiangsu, 214036, China;School of Electroni School of Electronics and Information,JiangSu University of Science and Technology, ZhenJiang, Jiang School of Information, Southern Yangtse University, WuXi, Jiangsu, 214036, China

会议类型: 国际会议

会议名称: 2006 International Symposium on Distributed Computing and Applications to Business,Engineering and Science(2006年国际电子、工程及科学领域的分布式计算应用学术研讨会)

会议地点: 杭州

会议语种:英文

页码: 463-466

在线出版日期: 2006-10-12（万方平台首次上网日期，不代表论文的发表时间）