Approximate Solutions to Nonsmooth Multiobjective Programming Problems

被引:0
|
作者
Golestani, Mohammad [1 ]
机构
[1] Fasa Univ, Dept Math, Fasa, Iran
来源
MINIMAX THEORY AND ITS APPLICATIONS | 2022年 / 7卷 / 01期
关键词
Mathematical programming; optimality conditions; nonlinear programming; nonsmooth analysis and approximate conditions;
D O I
暂无
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We consider a multiobjective mathematical programming problem with inequality and equality constraints, where all functions are locally Lipschitz. An approximate strong Karush-Kuhn-Tucker (ASKKT for short) condition is defined and we show that every local efficient solution is an ASKKT point without any additional condition. Then a nonsmooth version of cone-continuity regularity is defined for this kind of problem. It is revealed that every ASKKT point under the cone-continuity regularity is a strong Karush-Kuhn-Tucker (SKKT for short) point. Correspondingly, the ASKKTs and the cone-continuity property are defined and the relations between them are investigated.
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页码:119 / 130
页数:12
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