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Journal of Inequalities and Applications

, 2014:501

Thematic Series in the Honor of Professor Shih-Sen Chang’s张石生 80th birthday and his significant contributions to Nonlinear Analysis and its Applications

Abstract

We consider ϵ-solutions approximate solutions for a fractional optimization problem in the face of data uncertainty. Using robust optimization approach worst-case approach, we establish optimality theorems and duality theorems for ϵ-solutions for the fractional optimization problem. Moreover, we give an example illustrating our duality theorems.

MSC: 90C25, 90C32, 90C46.

Keywordsfractional programming under uncertainty convex programming under uncertainty strong duality robust optimization  Download fulltext PDF



Autor: Jae Hyoung Lee - Gue Myung Lee

Fuente: https://link.springer.com/



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