Abstract
In this paper, we introduce several robustness concepts for uncertain multiobjective optimization problems and using polar cone and some scalarization functions we characterize these concepts. We provide some equivalent characterizations for various robust solutions to uncertain multiobjective optimization problems based on a set approach.
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References
Goberna MA, López MA (2014) Post-Optimal Analysis in Linear Semi-Infinite Optimization. Springer Briefs in Optimization. Springer, New York
Ben-Tal A, Ghaoui El, Nemirovski A (2009) Robust Optimization. Princeton University Press, Princeton
Bertsimas D, Brown DB, Caramanis C (2011) Theory and applications of robust optimization. SIAM Rev 53(3), 464–501
Shi S, Zheng Q, Zhuang D (1994) Set-valued robust mappings and approximatable mappings. J Math Anal Appl 183:706–726
Hoffmann A, Geletu A (2005) On robustness of set-valued maps and marginal value functions. Discuss Math Differ Incl Control Optim 25:59–108
Klamroth K, Köbis E, Schöbel A, Tammer C (2013) A unified approach for different concepts of robustness and stochastic programming via nonlinear scalarizing functionals. Optimization 62:649–671
Ehrgott M, Ide J, Schöbel A (2014) Minmax robustness for multiobjective optimization problems. Eur J Oper Res 239(1), 17–31
Ide J, Köbis E (2014) Concepts of efficiency for uncertain multiobjective optimization problems based on set order relations. Math Meth Oper Res 80(1), 99–127
Kuroiwa D (1999) Some duality theorems of set-valued optimization with natural criteria. In: Proceedings of the International Conference on Nonlinear Analysis and Convex Analysis. World Scientific, River Edge, NJ 221–228
Ide J, Köbis E, Kuroiwa D, Schöbel A, Tammer C (2014) The relationship between multiobjective robustness concepts and set-valued optimization. Fix Point Theory A 83
Ide J, Schöbel A (2016) Robustness for uncertain multiobjective optimization: a survey and analysis of different concepts. OR Spectr 38:235–271
Crespi GP, Kuroiwa D, Rocca M (2017) Quasiconvexity of set-valued maps assures well-posedness of robust vector optimization. Ann Oper Res 251(1–2), 89–104
Wei HZ, Chen RC, Li SJ (2018) A unified characterization of multiobjective robustness via separation. J Optim Theory Appl 179(1), 86–10
Wei HZ, Chen RC, Li SJ (2018) Characterizations for optimality conditions of general robust optimization problems. J Optim Theory Appl 177(3), 835–856
Wei H-Z, Chen C-R (2019) Three concepts of robust efficiency for uncertain multiobjective optimization problems via set order relations. J Ind Manag Optim 15(2), 705–721
Ogata Y, Tanaka T, Saito Y, Lee GM, Lee JH (2018) An alternative theorem for set-valued maps via set relations and its application to robustness of feasible sets. Optimization 67(7), 1067–1075
Dinh N, Long DH (2018) Complete Characterizations of Robust Strong Duality for Robust Vector Optimization Problems. Vietnam J Math 46:293–328
Ansari QH, Köbis E, Sharma PK (2019) Characterizations of multiobjective robustness via oriented distance function and image space analysis. J Optim Theory Appl 181(3), 817–839
Ansari QH, Köbis E, Sharma PK (2018) Characterizations of set relations with respect to variable domination structures via oriented distance function. Optimization 67: 1389–1407
Chen J, Köbis E, Yao J-C (2019) Optimality conditions and duality for robust nonsmooth multiobjective optimization problems with constraints. J Optim Theory Appl 181(2), 411–436
Chen C, Wei Y (2019) Robust multiobjective portfolio optimization: a set order relations approach. J Comb Optim 38(1), 2–49
Wei HZ, Chen CR, Li SJ (2017) Robustness to uncertain optimization using scalarization techniques and relations to multiobjective optimization, Appl Anal 98(5), 851–866
Wei HZ, Chen CR, Li SJ (2020) A unified approach through image space analysis to robustness in uncertain optimization problems. J Optim Theory Appl 184:466–493
Wei HZ, Chen CR, Li SJ (2020) Robustness characterizations for uncertain optimization problems via image space analysis. J Optim Theory Appl 186:459–479
Khoshkhabar-amiranloo S, Khorram E (2015) Scalar characterizations of cone-continuous set-valued maps. Appl Anal 95:2750–2765
Khoshkhabar-amiranloo S, Khorram E, Soleimani-damaneh M (2016) Nonlinear scalarization functions and polar cone in set optimization. Optim Lett 11:521–535
Hernández H, Rodríguez-Marín L (2007) Nonconvex scalarization in set optimization with set-valued maps. J Math Anal Appl 325:1–18
Jahn J (2013) Vectorization in set optimization. J Optim Theory Appl 167:783–795
Further Reading
Khoshkhabar-amiranloo S, Khorram E (2015) Pointwise well-posedness and scalarization in set optimization. Math Meth Oper Res 82:195–210
Khoshkhabar-amiranloo S, Khorram E (2017) Scalarization of Levitin-Polyak well-posed set optimization problems. Optimization 66:113–127
Acknowledgements
The author is grateful to the anonymous referees for their helpful comments on the first version of this paper.
Funding
This research was in part supported by a grant from IPM [grant number 98900028].
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Khoshkhabar-amiranloo, S. Scalarization of Multiobjective Robust Optimization Problems. SN Oper. Res. Forum 2, 40 (2021). https://doi.org/10.1007/s43069-021-00082-z
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DOI: https://doi.org/10.1007/s43069-021-00082-z