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Three New Complexity Results for Resource Allocation Problems

Published 2 Oct 2008 in cs.MA, cs.AI, cs.CC, and cs.GT | (0810.0532v2)

Abstract: We prove the following results for task allocation of indivisible resources: - The problem of finding a leximin-maximal resource allocation is in P if the agents have max-utility functions and atomic demands. - Deciding whether a resource allocation is Pareto-optimal is coNP-complete for agents with (1-)additive utility functions. - Deciding whether there exists a Pareto-optimal and envy-free resource allocation is Sigma_2p-complete for agents with (1-)additive utility functions.

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