Abstract

We consider the weakly efficient solution for a class of nonconvex and nonsmooth vector optimization problems in Banach spaces. We show the equivalence between the nonconvex and nonsmooth vector optimization problem and the vector variational-like inequality involving set-valued mappings. We prove some existence results concerned with the weakly efficient solution for the nonconvex and nonsmooth vector optimization problems by using the equivalence and Fan-KKM theorem under some suitable conditions.

Highlights

  • The concept of vector variational inequality was first introduced by Giannessi 1 in 1980

  • Vector variational inequalities and their generalizations have been used as a tool to solve vector optimization problems see 7, 10–14

  • Chen and Craven 11 obtained a sufficient condition for the existence of weakly efficient solutions for differentiable vector optimization problems involving differentiable convex functions by using vector variational inequalities for vector valued functions

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Summary

Introduction

The concept of vector variational inequality was first introduced by Giannessi 1 in 1980. Kazmi 12 proved a sufficient condition for the existence of weakly efficient solutions for vector optimization problems involving differentiable preinvex functions by using vector variational-like inequalities. Lee et al 7 established the existence of the weakly efficient solution for nondifferentiable vector optimization problems by using vector variational-like inequalities for set-valued mappings. We show the equivalence between the nonconvex and nonsmooth vector optimization problem and the vector variational-like inequality involving set-valued mappings. We prove some existence results concerned with the weakly efficient solution for the nonconvex and nonsmooth vector optimization problems by using the equivalence and Fan-KKM theorem without the restrict condition Rm ⊂ C x for all x ∈ Rn. Our results generalize and improve the results obtained by Lee et al 7 and Ansari and Yao 10

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