An Improved Quantum Evolutionary Algorithm and Its Application

摘要：

When most of the quantum inspired evolution algorithms(QEA) are based on the genetic algorithm,then be improved and used for the optimization of continuous functions with multi-peak,However,they are easy to be trapped into the 1ocal deceptive peak．In this paper,a new improved quantum evolution algorithm is proposed to overcome the shortcoming of the above QEA.The new improved QEA combines the main mechanisms of clone.Experiments on test functions of diverse complexities are implemented and compared with other QEAs.The result indicates that the new algorithm in this paper can search and get the global optimum solution in a shorter time.

关键词： Quantum evolution algorithm Clone Mutation Function optimization

作者: Ren Ailian Zhou Liang Qu Hongjian

作者单位: School of Business Administration,Henan University of Finance and Economics,Zhengzhou,Henan,P.R.Chin Glorious Sun School of Business & Management,Donghua University,Shanghai,P.R.China,200051

会议类型: 国际会议

会议名称: 第三届产品创新管理国际会议(The 3rd International Conference on Product Innovation Management)

会议地点: 武汉

会议语种:英文

在线出版日期: 2008-10-26（万方平台首次上网日期，不代表论文的发表时间）