Optimality conditions and duality results for a class of differentiable vector optimization problems with the multiple interval-valued objective function

被引:0
作者
Antczak, Tadeusz [1 ]
Michalak, Anna [2 ]
机构
[1] Univ Lodz, Fac Math & Comp Sci, Banacha 22, PL-90238 Lodz, Poland
[2] Univ Lodz, Fac Econ & Sociol, Dept Econometr, Rewolucji 1905 R 41, PL-90214 Lodz, Poland
来源
2017 INTERNATIONAL CONFERENCE ON CONTROL, ARTIFICIAL INTELLIGENCE, ROBOTICS & OPTIMIZATION (ICCAIRO) | 2017年
关键词
differentiable multiobjective programming problem with the multiple interval-objective function; Karush-Kuhn-Tucker necessary optimality conditions; Kuhn-Tucker constraint qualification; LU-Pareto solution; (F; rho)-convex function; Mond-Weir duality; PROGRAMMING-PROBLEMS;
D O I
10.1109/ICCAIRO.2017.48
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, a differentiable interval-valued vector optimization problem with the multiple objective function and with both inequality and equality constraints is considered. The Karush-Kuhn-Tucker necessary optimality conditions are established for a weak LU-Pareto solution in the considered vector optimization problem with the multiple interval-objective function under the Kuhn-Tucker constraint qualification. Further, the sufficient optimality conditions for a (weak) LU-Pareto solution and several duality results in Mond-Weir sense are proved under assumptions that the functions constituting the considered differentiable vector optimization problem with the multiple interval-objective function are (F, rho)-convex.
引用
收藏
页码:207 / 218
页数:12
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