On interval-valued optimization problems with generalized invex functions

被引：0
|
作者：
Izhar Ahmad
Anurag Jayswal
Jonaki Banerjee
机构：
[1] King Fahd University of Petroleum and Minerals,Department of Mathematics and Statistics
[2] Aligarh Muslim University,Department of Mathematics
[3] Indian School of Mines,Department of Applied Mathematics
来源：
Journal of Inequalities and Applications | / 2013卷
关键词：
nonlinear programming; interval-valued functions; -invexity; LU-optimal; sufficiency; duality;
D O I：
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中图分类号：
学科分类号：
摘要：
This paper is devoted to study interval-valued optimization problems. Sufficient optimality conditions are established for LU optimal solution concept under generalized (p,r)−ρ−(η,θ)-invexity. Weak, strong and strict converse duality theorems for Wolfe and Mond-Weir type duals are derived in order to relate the LU optimal solutions of primal and dual problems.
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