The paper derives threshold-structured optimal allocations and a decreasing-CV routing policy for sequential max-min fair resource allocation, then proposes the PPA-deCV heuristic and compares fairness objectives via numerical experiments.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence,
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Sequential Fair Allocation and Routing in Nonprofit Operations
The paper derives threshold-structured optimal allocations and a decreasing-CV routing policy for sequential max-min fair resource allocation, then proposes the PPA-deCV heuristic and compares fairness objectives via numerical experiments.