Nondifferentiable multiobjective second-order symmetric duality

被引：0
|
作者：
S. K. Gupta
N. Kailey
机构：
[1] Indian Institute of Technology Patna,Department of Mathematics
[2] Thapar University,School of Mathematics and Computer Applications
来源：
Optimization Letters | 2011年 / 5卷
关键词：
Nondifferentiable programming; Multiobjective symmetric duality; Duality theorems; Support function; Second-order ; -convexity; Efficient solutions;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, a pair of Wolfe type second-order multiobjective symmetric dual programs involving nondifferentiable functions is formulated. Weak, strong and converse duality theorems are then established using the notion of second-order F-convexity assumptions. An example which is second-order F-convex but not convex is also illustrated. Further, special cases are discussed to show that this paper extends some known results of the literature.
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页码：125 / 139
页数：14
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