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Managing Risk in Recurrent Auctions for Robust Resource Allocation
Victor Muñoz, Dídac Busquets
140 - 150
10.3233/978-1-58603-893-9-140
Frontiers in Artificial Intelligence and Applications
Volume 179: STAIRS 2008
Abstract

Auctions can be used to solve resource allocation problems where tasks have to be assigned to resources in such a way that no resource gets overused and an objective function is optimized. In some cases a robust solution is preferable to the optimal solution as it may still be applicable even if unexpected changes in the environment occur. In this paper we present a robustness mechanism for auctions, producing feasible and near optimal solutions even if non-planned events occur. The proposed mechanism has been used in a real problem obtaining successful results.

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