A Modified Differential Evolution Algorithm

摘要：

Differential Evolution (DE) is a simple and efficient heuristic algorithm for global optimization over continuous spaces. Because of its outstanding performance, simplicity and remarkable efficiency,DE has being used widely to deal with real-life problems. However DE has some problems such as low precision and prematurity if the scaling factor F is not chosen carefully. In this paper a modified DE algorithm(sFDE) is proposed which uses an adaptive scaling factor sF to replace the invariable factor F in basic DE.This new algorithm performs better than the basic DE over a set of benchmark functions and a practical use for data reconciliation shows its effectiveness also.

关键词： DE Adaptive Scaling Factor

作者: GAO Lin

作者单位: School of Automation and Electronic Engineering, Qingdao University of Science and Technology,Qingdao 266042, P. R. China

会议类型: 国际会议

会议名称: The 29th Chinese Control Conference(第二十九届中国控制会议)

会议地点: 北京

会议语种:英文

页码: 1-4

在线出版日期: 2010-07-29（万方平台首次上网日期，不代表论文的发表时间）