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.
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页码：252 / 255
页数：4
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