This work demonstrates sufficient conditions for well-posedness in robust optimization problems, suggesting improvements in optimization approaches under uncertainty.
We propose new concepts of efficient solutions of optimization problems under uncertainty and state corresponding new counterparts of these models called optimistic and robust optimization problems. Accordingly, we define notions of pointwise and global well-posedness for both optimistic and robust optimization problems. Applying a direct approach, we establish sufficient conditions for these well-posedness properties.
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Anh et al. (2026) studied this question.
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