A Hybrid Quantum-Behaved Differential Evolution Algorithm

摘要：

Differential Evolution (DE) is a recently proposed intelligent optimization algorithm, which has shown excellent search abilities in many real world and benchmark optimization problems. In order to enhance the performance of DE, this paper presents a hybrid DE algorithm, called HQDE, which employs a quantum-behaved mechanism and adaptive parameter control. To verify the performance of the proposed approach, ten well-known benchmark optimization problems were selected in the experiments. Simulation results demonstrate that HQDE obtains better performance than standard DE and another improved DE variant.

关键词： differential evolution quantum evolutionary computation global optimization

作者: XiaotingMa Chen Chen

作者单位: School of Information Engineering Lanzhou University of Finance and Economics Lanzhou 730020, China Modern Education Technology and Information Center Lanzhou University of Finance and Economics Lanzh

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Automation Engineering(ICCAE 2011)(2011年第三届IEEE计算机与自动化工程国际会议)

会议地点: 重庆

会议语种:英文

页码: 297-300

在线出版日期: 2011-01-21（万方平台首次上网日期，不代表论文的发表时间）