Saddle-Point Type Optimality for Interval-Valued Programming

被引：0

作者：

Sun, Yuhua ^{[1
]}

Wang, Laisheng ^{[1
]}

机构：

[1] China Agr Univ, Coll Sci, Beijing 100094, Peoples R China

来源：

2012 2ND INTERNATIONAL CONFERENCE ON UNCERTAINTY REASONING AND KNOWLEDGE ENGINEERING (URKE) | 2012年

关键词：

Optimality conditions; Lagrangian function; Saddle point; Interval-valued Programming; OPTIMIZATION PROBLEMS; DUALITY-THEORY; CONSTRAINTS;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this paper, we consider interval-valued programming where the objective function is an interval-valued function. We define the concepts of LU optimal solution to interval-valued programming problem. A real-valued Lagrangian function for interval-valued programming is defined. Further, the saddle point of Lagrangian function is also defined and saddle point optimality conditions are presented under (p, r)- rho -( eta, theta)-invexity assumptions.

引用

页码：252 / 255

页数：4

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