Characterizations of multi-objective robustness solutions defined by Minkowski set difference
Author:
Funder
Natural Science Foundation of China
The Key Project of North Minzu University
Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research,Business, Management and Accounting (miscellaneous)
Link
https://link.springer.com/content/pdf/10.1007/s00291-023-00725-z.pdf
Reference27 articles.
1. Ansari QH, Köbis E, Sharma PK (2019) Characterizations of multiobjective robustness via oriented distance function and image space analysi. J Optim Theory Appl 181(3):817–839
2. Ansari QH, Sharma PK, Qin X (2020) Characterizations of robust optimality conditions via image space analysis. Optimization 69(9):2063–2083
3. Chen JW, Huang L, Lv YB, Wen CF (2019) Optimality conditions of robust convex multiobjective optimization via $$\varepsilon$$-constraint scalarization and image space analysis. Optimization 69:1849–1879
4. Chen JW, Al-Homidan S, Ansari QH, Li J, Lv YB (2021) Robust necessary optimality conditions for nondifferentiable complex fractional programming with uncertain data. J Optim Theory Appl 189:221–243
5. Ehrgott M, Ide J, Schöbel A (2014) Minmax robustness for multi-objective optimization problems. Eur J Oper Res 239(1):17–31
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