Original Research Open Access Logo

Higher-order variational set of the benson proper perturbation map in set-valued optimization

Linh Manh Ha 1, *
  1. University of Information Technology, VNU-HCM
Correspondence to: Linh Manh Ha, University of Information Technology, VNU-HCM. Email: hamanhlinh2002@gmail.com.
Volume & Issue: Vol. 3 No. 4 (2019) | Page No.: 279-285 | DOI: 10.32508/stdjns.v3i4.696
Published: 2020-04-01

Online metrics


Statistics from the website

  • Abstract Views: 0
  • Galley Views: 0

Statistics from Dimensions

This article is published with open access by Viet Nam National University Ho Chi Minh City, Viet Nam. This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0) which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.

Abstract

In the paper, we study sensitivity analysis in set-valued optimization, a research direction has been attracting much attention of many mathematicians in the world recently. The main derivative used in the paper is higher-order variational set (introduced by Khanh and Tuan in 2008) which is considered as a generalization of the contingent derivative (known as the first and the most popular derivative in set-valued optimization). Firstly, we establish relationships between higher-order variational sets of a given set-valued map and those of its profile (extended by a ordering cone). Then, we give results on higher-order variational set of the Benson proper perturbation map for a kind of set-valued optimization problem, the perturbation map is defined in the objective space. Finally, we apply the obtained results to sensitivity analysis for optimal-value map of a parametrized constrained set-valued optimization problem whose the objective map and constrained maps depends on some parameter. More precisely, some results on sensitivity analysis for parametrized constrained set-valued optimization problem are obtained. The content of the paper gives us more applications of higher-order variational set in set-valued optimization.

 

Comments