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一种新的求总极值的水平值估计算法
引用本文:楼烨,孙胜,武明楠.一种新的求总极值的水平值估计算法[J].运筹学学报,2012,16(2):105-114.
作者姓名:楼烨  孙胜  武明楠
作者单位:1. 上海科学技术职业学院,上海,201800; 2. 上海大学理学院,上海, 200444
摘    要:提出了一种求解总极值问题的新水平值估计算法. 为此, 引入一类变差函数并研究它的性质; 给出基于变差函数的全局最优性条件, 并构造出一种求总极值的水平值估计算法. 为了实现这种算法, 采用了基于重点样本技术的Monte-Carlo方法来计算变差,并利用相对熵算法的主要思想更新取样密度.初步的数值实验说明了算法的有效性.

关 键 词:总极值    变差函数    水平值估计算法    重点取样  相对熵算法  

A new level-value estimation method for global minimization
LOU Ye , SUN Sheng , WU Mingnan.A new level-value estimation method for global minimization[J].OR Transactions,2012,16(2):105-114.
Authors:LOU Ye  SUN Sheng  WU Mingnan
Institution:1. Shanghai Vocational College of Science and Technology, Shanghai 201800, China; 2. School of Sciences, Shanghai University, Shanghai 200444, China
Abstract:In this paper,a new level-value estimation method is proposed for solving global optimization problem.For this purpose,we introduce a deviation function and study its properties.Based the deviation function,we give a global optimality condition, and then propose a conceptual level-value estimation algorithm,and prove the global convergence of the proposed method.For the implementation of the proposed method, we use the Monte-Carlo method with important sampling to compute the deviation,in which the sample density is updated by the main ideas of the cross-entropy method.Some primary numerical results show the validity of the proposed method.
Keywords:global optimization  deviation function  the level-value estimation  important sampling  the cross-entropy method
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