Cross-entropy optimization with prioritized constraints

TierCEM is an optimization method that handles conflicting constraints by using an explicit lexicographic ordering of priorities instead of per-constraint weights. It filters candidate samples sequentially based on constraint importance, recursively relaxing lower-priority constraints when conflicts arise. This allows the method to preserve higher-priority requirements while optimizing toward the task objective.

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