On minty variational principle for quasidifferentiable vector optimization problems

被引:4
|
作者
Singh, Harsh Narayan [1 ]
Laha, Vivek [1 ]
机构
[1] Banaras Hindu Univ, Inst Sci, Dept Math, Varanasi 221005, Uttar Pradesh, India
来源
OPTIMIZATION METHODS & SOFTWARE | 2023年 / 38卷 / 02期
关键词
Vector optimization; quasidifferentiability; variational inequalities; generalized convexity; nonsmooth analysis; nonconvex analysis; mean value theorem; OPTIMALITY CONDITIONS; INEQUALITIES; NONSMOOTH; INVEXITY; DIFFERENCE; TERMS; SETS;
D O I
10.1080/10556788.2022.2119235
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
This paper deals with quasidifferentiable vector optimization problems involving invex functions wrt convex compact sets. We present vector variational-like inequalities of Minty type and of Stampacchia type in terms of quasidifferentials denoted by (QMVVLI) and (QSVVLI), respectively. By utilizing these variational inequalities, we infer vital and adequate optimality conditions for an efficient solution of the quasidifferentiable vector optimization problem involving invex functions wrt convex compact sets. We also establish various results for the solutions of the corresponding weak versions of the vector variational-like inequalities in terms of quasidifferentials.
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页码:243 / 261
页数:19
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