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Optimal interventions in robust optimization with time-dependent uncertainties
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DOI：10.1016/j.cor.2025.107162.png)
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Abstract
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• Optimal intervention (OI) policies are established for multi-stage robust models. • The OI policies depend on the uncertainty set parameterization and observation cost. • Heuristic approaches are presented to solve the robust models with OI, efficiently. • Robust models with OI outperform models with naive interventions in most cases. • In the worst-case, OI robust models remain acceptable, unlike deterministic models.
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