Second-order optimality conditions for interval-valued functions

被引:0
|
作者
Ruiz-Garzon, Gabriel [1 ]
Osuna-Gomez, Rafaela [2 ]
Rufian-Lizana, Antonio [2 ]
Beato-Moreno, Antonio [2 ]
机构
[1] Univ Cadiz, Dept Estadist & IO, Avda Univ S-N, Cadiz 11405, Spain
[2] Univ Seville, Dept Estadist & IO, Tarfia s-n, 41012 Seville, Spain
关键词
Optimization problem; Generalized convexity; Second-order optimality conditions; INVEX FUNCTIONS; DUALITY; OPTIMIZATION; SUFFICIENCY;
D O I
10.1186/s13660-023-03054-5
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This work is included in the search of optimality conditions for solutions to the scalar interval optimization problem, both constrained and unconstrained, by means of second-order optimality conditions. As it is known, these conditions allow us to reject some candidates to minima that arise from the first-order conditions. We will define new concepts such as second-order gH-derivative for interval-valued functions, 2-critical points, and 2-KKT-critical points. We obtain and present new types of interval-valued functions, such as 2-pseudoinvex, characterized by the property that all their second-order stationary points are global minima. We extend the optimality criteria to the semi-infinite programming problem and obtain duality theorems. These results represent an improvement in the treatment of optimization problems with interval-valued functions.
引用
收藏
页数:19
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