计算机工程与应用 ›› 2011, Vol. 47 ›› Issue (8): 41-43.

• 研究、探讨 • 上一篇    下一篇

非线性l-1模极小化问题的极大熵差分进化算法

李超燕1,秦晓明2,赖红辉1   

  1. 1.宁波职业技术学院 华建软件学院,浙江 宁波 315040
    2.焦作师范高等专科学校 计算机与信息工程系,河南 焦作 454000
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2011-03-11 发布日期:2011-03-11

Maximum entropy differential evolution algorithm to nonlinear l-1 norm minimization problems

LI Chaoyan1,QIN Xiaoming2,LAI Honghui1   

  1. 1.School of Huajian Software,Ningbo Polytechnic,Ningbo,Zhejiang 315040,China
    2.Department of Computer and Information Engineering,Jiaozuo Teachers College,Jiaozuo,Henan 454000,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2011-03-11 Published:2011-03-11

摘要: 针对一类非线性l-1模极小化问题目标函数非光滑的特点给求解带来的困难,利用差分进化算法并结合极大熵函数法给出了解决此类问题的一种有效算法。利用极大熵函数将l-1模极小化问题转化为一个光滑函数的无约束最优化问题,利用差分进化算法对其进行求解。实验结果表明,该方法是有效的。

关键词: 差分进化算法, l-1模极小化问题, 极大熵方法

Abstract: Concerning the difficulty in solving nonlinear l-1 norm minimization problems whose objective function is non-smooth,a new method is proposed in this paper.This algorithm uses differential evolution algorithm with maximum entropy function.The maximum entropy function is used to transform the nonlinear l-1 norm minimization problems into unconstrained optimization problem,the differential evolution algorithm is used to solve this problem.Experimental results show that the algorithm is effective.

Key words: differential evolution algorithm, l-1 norm minimization problems, maximum-entropy method