A Multivariate Partition Approach to Optimization Problems

被引：11
|
作者：
H. X. Huang
P. M. Pardalos
机构：
[1] Tsinghua University,Department of Mathematical Sciences
[2] University of Florida,Department of Industrial and Systems Engineering
来源：
Cybernetics and Systems Analysis | 2002年 / 38卷 / 2期
关键词：
formulation of multilevel optimization; multivariate partition approach; -coordinate partial minimizer; Lennard-Jones problem; spherical code problem;
D O I：
10.1023/A:1016351614255
中图分类号：
学科分类号：
摘要：
In this paper, a general optimization approach called the Multivariate Partition Approach (MPA) is proposed for dealing with the problem of minimization of multivariate functions. The basic idea of the MPA is to partition all the variables appearing in an optimization problem into several groups, each of which consists of some variables, and to regard each group as a set of active variables for solving the original optimization problem.
引用
收藏
页码：265 / 275
页数：10
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