Convexificators for nonconvex multiobjective optimization problems with uncertain data: robust optimality and duality-Reference-Cited by-同舟云学术

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Convexificators for nonconvex multiobjective optimization problems with uncertain data: robust optimality and duality

Published:2023-12-14 Issue: Volume: Page:1-23
ISSN:0233-1934
Container-title:Optimization
language:en
Short-container-title:Optimization

Author:

Chen J. W.¹,Yang R.¹,Köbis E.²,Ou X.¹³

Affiliation:

1. School of Mathematics and Statistics, Southwest University, Chongqing, People's Republic of China

2. Department of Mathematical Sciences, Norwegian University of Science and Technology (NTNU), Norway

3. College of Management, Chongqing College of Humanities, Science & Technology, Chongqing, People's Republic of China

Funder

Natural Science Foundation of China

Natural Science Foundation of Chongqing

Publisher

Informa UK Limited

Subject

Applied Mathematics,Management Science and Operations Research,Control and Optimization

Link

https://www.tandfonline.com/doi/pdf/10.1080/02331934.2023.2293061

Reference41 articles.

1. Theory of Vector Optimization

2. Recent Developments in Vector Optimization

3. Vector Variational Inequalities and Vector Optimization

4. Jahn J. Vector optimization theory, applications and extensions. Berlin: Springer; 2004.

5. Separations and Optimality of Constrained Multiobjective Optimization via Improvement Sets

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