%0 Journal Article
%T Differential Evolution for Nonlinear Constrained Optimization Using Non-stationary Multi-stage Assignment Penalty Function<br>采用非固定多段映射罚函数的非线性约束优化差分进化算法
%A WU Liang-hong
%A WANG Yao-nan
%A ZHOU Shao-wu
%A YUAN Xiao-fang
%A <br>吴亮红
%A 王耀南
%A 周少武
%A 袁小芳
%J 系统工程理论与实践
%D 2007
%I 
%X Using non-stationary multi-stage assignment penalty function to deal with the constrained conditions,a modified differential evolution(MDE) for nonlinear constrained optimization is proposed.In order to improve global convergence and convergence speed of the algorithm,two different mutation scheme of DE were combined,and simulation anneal tactics was adapted,which ensure the algorithm has good global exploring ability at the beginning stage and good local exploring ability at the last stage.Several classic Benchmarks functions were tested,the experiment results show that the MDE has powerful global exploring ability,good robustness,high precision,and fast convergence speed.So it is an effective way for nonlinear constrained optimization problems.
%K differential evolution
%K nonlinear constrain
%K non-stationary multi-stage assignment penalty function<br>差分进化
%K 非线性约束
%K 非固定多段映射罚函数
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=962324E222C1AC1D&jid=1D057D9E7CAD6BEE9FA97306E08E48D3&aid=15CCC965E4645B65&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=38B194292C032A66&sid=1F199509C0B6C4D6&eid=7C72DBC13F2D71EC&journal_id=1000-6788&journal_name=系统工程理论与实践&referenced_num=5&reference_num=8