华南理工大学学报(自然科学版) ›› 2014, Vol. 42 ›› Issue (1): 66-71.doi: 10.3969/j.issn.1000-565X.2014.01.012

• 电子、通信与自动控制 • 上一篇    下一篇

实用最优点的概念及求解方法

高立群1 孔祥勇1 欧阳海滨1 邹德旋2   

  1. 1.东北大学 信息科学与工程学院,辽宁 沈阳 110004; 2.江苏师范大学 电气工程及自动化学院,江苏 徐州 221116
  • 收稿日期:2013-09-03 修回日期:2013-10-20 出版日期:2014-01-25 发布日期:2013-12-01
  • 通信作者: 高立群(1949-),男,教授,博士生导师,主要从事复杂系统建模与控制、图像处理等的研究. E-mail:gaoliqun@mail.neu.edu.cn
  • 作者简介:高立群(1949-),男,教授,博士生导师,主要从事复杂系统建模与控制、图像处理等的研究.
  • 基金资助:

    国家自然科学基金资助项目(61273155)

Concept and Solving Method of Practicable Optimal Point

Gao Li- qun 1 Kong Xiang- yong1 Ouyang Hai- bin1 Zou De- xuan2   

  1. 1.College of Information Science and Engineering,Northeastern University,Shenyang 110004,Liaoning,China;2.School of Electrical Engineering and Automation,Jiangsu Normal University,Xuzhou 221116,Jiangsu,China
  • Received:2013-09-03 Revised:2013-10-20 Online:2014-01-25 Published:2013-12-01
  • Contact: 高立群(1949-),男,教授,博士生导师,主要从事复杂系统建模与控制、图像处理等的研究. E-mail:gaoliqun@mail.neu.edu.cn
  • About author:高立群(1949-),男,教授,博士生导师,主要从事复杂系统建模与控制、图像处理等的研究.
  • Supported by:

    国家自然科学基金资助项目(61273155)

摘要: 从工程实际角度引出实用点的概念,指出对于一个优化问题而言,在某些场合不仅要考虑目标函数的全局极值点,还要考虑函数在此极值点邻域内的性质,进而提出实用最优点的概念——带有一定邻域约束的全局最优点.由于该约束采用传统方法难以处理,文中采用邻域采样的近似方法,基于粒子群优化算法的思想,提出了一种快速搜索算法,以求取不同要求下的实用最优点.仿真实验结果验证了实用最优点的概念以及搜索算法的可行性,该搜索算法具有良好的寻优性能.

关键词: 全局最优, 实用最优点, 邻域特性, 快速搜索算法, 邻域采样

Abstract:

From the viewpoint of engineering practice,a concept of practicable point is proposed to solve optimiza-tion problems.However,in a certain situations,not only the global extreme points of the objective function but alsothe characteristics of objective function in the extreme point neighborhood should be considered.In view of thisproblem,a concept of practicable optimal point,namely the global optimal point with a neighborhood constraint,isfurther proposed.Moreover,as neighborhood constraint is difficult to obtain with traditional methods,an approxi-mate method based on neighborhood sampling is put forward,and a rapid search algorithm based on the particleswarm optimization is presented to find the practicable optimal points meeting different requirements.Simulated re-sults indicate that both the proposed practicable optimal point and the corresponding search algorithm are of feasibi-lity,and that the search algorithm is effective in searching the practicable optimal point.

Key words: global optimization, practicable optimal point, neighborhood characteristic, quick search algorithm, neighborhood sampling