An Improved Quantum Evolution Algorithm and Performance Analysis

摘要：

　　To tackle the shortcoming of deficient using of feedback information in quantum-inspired evolutionary computing and catastrophe such as quantum mutation,the improved quantum-inspired evolutionary algorithm (IQEA) is proposed.The crossover and mutation operators of genetic algorithm are introduced to the quantum evolution algorithm,at the same time,the better individuals information is applied to the generation of the population applying the probability evaluation model of the estimation of distribution algorithm.Theory analyze and test function simulation experiments show that the improved quantum genetic algorithm is characterized by rapid convergence,excellent robustness and so on.

关键词： Multiple quantum computation quantum-inspired evolutionary algorithm genetic optimization estimation of distribution

作者: Zhang Yi Yang Xiuxia Zhou Shaolei

作者单位: Department of Control Engineering Naval Aeronautical and Astronautical University Yantai, China

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer Application and System Modeling(2012第二届计算机应用与系统建模国际会议)(ICCASM-2012)

会议地点: 沈阳

会议语种:英文

页码: 627-629

在线出版日期: 2012-07-27（万方平台首次上网日期，不代表论文的发表时间）