Geoffrion’s proper efficiency in linear fractional vector optimization with unbounded constraint sets
https://doi.org/10.1007/2Fs10898-020-00927-7Publisher, magazine: ,
Publication year: 2020
Lưu Trích dẫn Chia sẻAbstract
Choo (Oper Res 32:216–220, 1984) has proved that any efficient solution of a linear fractional vector optimization problem with a bounded constraint set is properly efficient in the sense of Geoffrion. This paper studies Geoffrion’s properness of the efficient solutions of linear fractional vector optimization problems with unbounded constraint sets. By examples, we show that there exist linear fractional vector optimization problems with the efficient solution set being a proper subset of the unbounded constraint set, which have improperly efficient solutions. Then, we establish verifiable sufficient conditions for an efficient solution of a linear fractional vector optimization to be a Geoffrion properly efficient solution by using the recession cone of the constraint set. For bicriteria problems, it is enough to employ a system of two regularity conditions. If the number of criteria exceeds two, a third regularity condition must be added to the system. The obtained results complement the above-mentioned remarkable theorem of Choo and are analyzed through several interesting examples, including those given by Hoa et al. (J Ind Manag Optim 1:477–486, 2005).
Tags: Linear fractional vector optimization, Efficient solution, Gain-to-loss ratio, Geoffrion’s properly efficient solution, Unbounded constraint set, Direction of recession, Regularity condition
Các bài viết liên quan đến tác giả Nguyễn Thị Thu Hương
A property of bicriteria affine vector variational inequalities
Multivalued Tikhonov Trajectories of General Affine Variational Inequalities
The Pascoletti–Serafini Scalarization Scheme and Linear Vector Optimization
The Adaptive Parameter Control Method and Linear Vector Optimization
Polynomial Vector Variational Inequalities under Polynomial Constraints and Applications
Connectedness structure of the solution sets of vector variational inequalities