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

页码：68 / 75

页数：8

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