A Filled Function Method for the Mixed-integer Nonlinear Programming Problems

被引：0
|
作者：
Yuan, Liu-Yang [1 ]
Cao, Xiao-Gang [2 ]
机构：
[1] Wuhan Univ Sci & Technol, Coll Sci, Wuhan, Hubei, Peoples R China
[2] Wuhan Text Univ, Sch Management, Wuhan, Hubei, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND COMMUNICATION ENGINEERING (CSCE 2015) | 2015年
关键词：
Filled function; Mixed-integer nonlinear programming problems; Constrained global optimization problems; Local minimizer; Global minimizer;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this paper, a filled function method is suggested to solve the mixed-integer nonlinear programming problems. Firstly, the original problem is converted into a corresponding constrained global optimization problem by using the sine function. Subsequently, a class of filled functions with two parameters is proposed for solving the constrained global optimization problem. Some properties of the filled function are studied and discussed. Finally, an algorithm based on the proposed filled function for solving mixed-integer nonlinear programming problems is presented. The implementation of the algorithm on several test problems is reported with numerical results.
引用
收藏
页码：639 / 645
页数：7
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