2004•Journal of Yanan UniversityRequires access

Optimality Conditions for Symmetrically Differentiable Multiobjective Programming under Generalized V-Type I Invexity

Qingxiang Zhang

Open publisher page 0 citations

Abstract

Several nonsmooth generalized V-Type I invexities such as the V-Type I_s,quasi V-Type I_s,and pseudo V-Type I_s vere defined by using Minch's symmetric gradient,some optimality sufficient conditions for a class of multiobjective programming were obtained under these new generalized V-Type I invexity.

About this research paper

What this paper is about

Several nonsmooth generalized V-Type I invexities such as the V-Type I_s,quasi V-Type I_s,and pseudo V-Type I_s vere defined by using Minch's symmetric gradient,some optimality sufficient conditions for a class of multiobjective programming were obtained under these new generalized V-Type I invexity.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Several nonsmooth generalized V-Type I invexities such as the V-Type I_s,quasi V-Type I_s,and pseudo V-Type I_s vere defined by using Minch's symmetric gradient,some optimality sufficient conditions for a class of multiobjective programming were obtained under these new generalized V-Type I invexity.

Key concepts: Differentiable function, Type (biology), Mathematics, Class (philosophy), Applied mathematics, Pure mathematics, Mathematical optimization, Computer science

Related papers

Back to paper searchBrowse research topicsOriginal source
Optimality Conditions for Symmetrically Differentiable Multiobjective Programming under Generalized V-Type I Invexity — Research Paper | ScholarLens