Several Requirements over a Worst-Case Input Set
Abstract
Joint feasibility and worst-case constrained selection require a common event within each protected scenario. Evaluation should keep constraint dependence and identify the scenario responsible for rejection. Nominal ranking performance is a separate outcome. Conservative protection remains tied to the chosen input description, whose plausibility needs evidence outside the optimizer's own calculations. This focused synthesis develops an empirical comparison that preserves the terminal action, observation process, and total verification cost. Its proposed tests are prospective; no new simulation run, model-training result, or intervention effect is reported.
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