Physics – Condensed Matter – Statistical Mechanics
Scientific paper
2006-05-25
Phys. Rev. Lett. 97, 128701 (2006)
Physics
Condensed Matter
Statistical Mechanics
4 pages, 4 figures, minor changes, references added. To appear on PRL
Scientific paper
10.1103/PhysRevLett.97.128701
Combinatorial auctions are formulated as frustrated lattice gases on sparse random graphs, allowing the determination of the optimal revenue by methods of statistical physics. Transitions between computationally easy and hard regimes are found and interpreted in terms of the geometric structure of the space of solutions. We introduce an iterative algorithm to solve intermediate and large instances, and discuss competing states of optimal revenue and maximal number of satisfied bidders. The algorithm can be generalized to the hard phase and to more sophisticated auction protocols.
Galla Tobias
Leone Michele
Marsili Matteo
Sellitto Mauro
Weigt Martin
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