Detailed Information
Cited 0 time in 
Cited 0 time in 
Cited 0 time in
Metadata Downloads
SOME RESULTS ON THE MULTIOBJECTIVE OPTIMIZATION PROBLEM WITH CONVEX FUNCTIONS
- Authors
- Cho, Sun Young
- Issue Date
- 2025
- Publisher
- Yokohama Publishers
- Keywords
- Multiobjective optimization; random functions; variational analysis
- Citation
- Journal of Nonlinear and Convex Analysis, v.26, no.3, pp 529 - 539
- Pages
- 11
- Indexed
- SCIE
SCOPUS
- Journal Title
- Journal of Nonlinear and Convex Analysis
- Volume
- 26
- Number
- 3
- Start Page
- 529
- End Page
- 539
- ISSN
- 1345-4773
1880-5221
- Abstract
- The aim of this paper is to study a stochastic version of the mul-tiobjective optimization problems whose objectives are the expected values of convex and random functions based on a stochastic variational inequality. It is proved that solutions to the stochastic variational inequality is a Pareto optimization solution to the stochastic version of the multiobjective optimization. A subgradient-like algorithm is proposed to find solutions. The almost sure convergence is proved as well. © 2025 Yokohama Publications. All rights reserved.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - ETC > Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.