Constrained Global Optimization Using a New Exact Penalty Function

被引：0
|
作者：
Zheng, Fangying [1 ]
Zhang, Liansheng [2 ]
机构：
[1] Zhejiang Sci Tech Univ, Dept Math Sci, Hangzhou 310018, Zhejiang, Peoples R China
[2] Shanghai Univ, Dept Math, Shanghai 200444, Peoples R China
来源：
ADVANCES IN GLOBAL OPTIMIZATION | 2015年 / 95卷
关键词：
Nonlinear programming; Continuous constrained optimization; Global optimization; Penalty function; MINIMIZATION;
D O I：
10.1007/978-3-319-08377-3_8
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
The aim of this paper is to propose a global algorithm model for continuous constrained nonlinear programming based on a new simple and exact penalty function. Under weak assumptions, we show that the optimizer obtained by the algorithm is converged to the global minimizer of the original problem.
引用
收藏
页码：68 / 75
页数：8
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