Journal of the Operations Research Society of China ›› 2026, Vol. 14 ›› Issue (1): 210-228.doi: 10.1007/s40305-023-00514-z

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Improvement Sets and Robust Multiobjective Optimization

Hong-Zhi Wei1, Chun-Rong Chen2, Sheng-Jie Li2   

  1. 1 School of Mathematics and Statistics, Shaanxi Normal University, Xi'an 710062, Shaanxi, China;
    2 College of Mathematics and Statistics, Chongqing University, Chongqing 401331, China
  • Received:2022-08-02 Revised:2023-08-29 Online:2026-03-30 Published:2026-03-16
  • Contact: Hong-Zhi Wei E-mail:hongzhiwei0922@163.com
  • Supported by:
    This research was supported by the National Natural Science Foundation of China (Nos.12001348 and 11971078),and the Fundamental Research Funds for the Central Universities (Nos.GK202301006 and GK202304002).

Abstract: In this paper, a new notion called E-optimality is proposed by virtue of improvement sets E for uncertain multiobjective optimization problems, which has close connections to many known robustness concepts and can be seen as a unified approach to dealingwithmultiobjectiverobust efficiency. Subsequently,we discuss the existence of E-optimal solutions and obtain existence results under mild assumptions. By means of linear and nonlinear scalarizing functions, some characterizations of E-optimal solutions are well established, respectively. Finally, several examples are given to show the effectiveness of the results.

Key words: Multiobjective optimization, Robustness and sensitivity analysis, Improvement sets, Scalarization

CLC Number: