北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2008, Vol. 31 ›› Issue (4): 20-23.doi: 10.13190/jbupt.200804.20.028

• 论文 • 上一篇    下一篇

改进的旋转矢量优化方法

李忠明1 , 焦宗夏2   

  1. 1. 北京邮电大学 自动化学院,北京 100876; 2. 北京航空航天大学 自动化科学与电气工程学院, 北京 100083
  • 收稿日期:2007-12-27 修回日期:1900-01-01 出版日期:2008-08-30 发布日期:2008-08-30
  • 通讯作者: 李忠明

An Improved Rotate-Vector Method

LI Zhong-ming1, JIAO Zong-xia2   

  1. 1. School of Automation, Beijing University of Posts and Telecommunications, Beijing 100876,China; 2. School of Automation Science and Electrical Engineering, Beihang University,Beijing 100083,China
  • Received:2007-12-27 Revised:1900-01-01 Online:2008-08-30 Published:2008-08-30
  • Contact: LI Zhong-ming

摘要:

在基本旋转矢量法的基础上,提出了多点旋转矢量优化方法。通过增加初始点的多样性以及
引入舍弃阈值和保留系数的概念等措施,以实例的求解为验证,表明提高了全局寻优能力和计算效
率;从实例求解效果和算法原理等方面与遗传算法进行了比较分析;分析了多点旋转矢量法中各参
数对求解精度和计算时间的影响作用,给出了在实际使用中对参数设置具有指导意义的评价。

关键词: 旋转矢量, 全局优化, 遗传算法

Abstract:

A new proposal for multipoint rotate-vector optimization is presented based on the basic rotate-vector method. Some measures are adopted as increasing diversity of initial points, introducing rejection threshold and retained coefficient, then the capacity of global optimization and computational efficiency are improved by solving the examples. Genetic algorithm is compared with this method from points of view of result of example and principle of algorithm. The influence of every parameter is analyzed on the computational accuracy and time of multipoint rotate-vector method. The directory evaluation is given which is helpful to parameter setting in practical application.

Key words: rotate-vector, global optimization, genetic algorithm

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