Overview on Mixed Integer Nonlinear Programming Problems

被引：0
|
作者：
Fernandes, Florbela P. [1 ]
Costa, M. Fernanda P. [2 ,3 ]
Fernandes, Edite M. G. P. [4 ]
机构：
[1] Polytech Inst Braganca, Dept Math, Braganca, Portugal
[2] Univ Minho, P-4719 Braga, Portugal
[3] Univ Minho, Dept Mat Sci & Technol, P-4719 Braga, Portugal
[4] Univ Minho, Dept Sci Syst, P-4719 Braga, Portugal
来源：
NUMERICAL ANALYSIS AND APPLIED MATHEMATICS, VOLS 1 AND 2 | 2009年 / 1168卷
关键词：
mixed-integer nonlinear programs; branch-and-bound; outer-approximation; ALGORITHM; BRANCH;
D O I：
暂无
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
Many optimization problems involve integer and continuous variables that can be modeled as mixed integer nonlinear programming (MINLP) problems. This has led to a wide range of applications, in particular in some engineering areas. Here, we provide a brief overview on MINLP, and present a simple idea for a future nonconvex MINLP solution technique.
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页码：1374 / +
页数：2
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