Abstract
In this paper, the behavior of the solutions of a multi-objective optimization problem, whose the objective functions are perturbed by adding a small linear term, is analyzed. In this regard, a new notion of Lipschitzian stability, by means of the Aubin property of the solution set, is defined. Lipschitz stable locally efficient solutions, as generalization of tilt/full stable solutions, are introduced and characterized by modern variational analysis tools. Applying the weighted sum method, the relationships between these solutions and full-stable local optimal solutions of the scalarized problem are investigated. The key tools in deriving our results come from the first- and second-order variational analysis.
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Notes
See [31] for definition of isolated efficiency.
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Acknowledgements
The authors express their sincere thanks to the handling editor and anonymous referee for their helpful comments. Morteza Rahimi was supported by a grant from Basic Sciences Research Fund (No. BSRF-math-399-04).
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Rahimi, M., Soleimani-damaneh, M. Aubin property for solution set in multi-objective programming. J Glob Optim 85, 441–460 (2023). https://doi.org/10.1007/s10898-022-01209-0
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DOI: https://doi.org/10.1007/s10898-022-01209-0
Keywords
- Variational analysis
- Perturbation in optimization
- Multi-objective programming
- Aubin stability
- Tilt-stability
- Full-stability