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Bidtree Ordering in IDA Combinatorial Auction Winner-Determination with Side Constraints

John CollinsContact Information, Güleser Demir6, 7 Contact Information and Maria GiniContact Information

(6)  Department of Computer Science and Engineering, University of Minnesota, USA
(7)  Department of Electrical and Electronics Engineering, University of Dokuz Eylul, Turkey
Abstract
We extend Sandholm’s bidtree-based IDA* algorithm for combinatorial auction winner determination to deal with negotiation over tasks with precedence constraints. We evaluate its performance, and show that the order of items in the bidtree has a major impact on performance. Specifically, performance is enhanced if the items with the largest numbers of bids are at the top of the bidtree. This is due to the fact that the effective branching factor in the search tree is controlled by the number of bids returned from a query to the bidtree, which in turn is strongly related to its construction.
This work was supported in part by the National Science Foundation, awards NSF/IIS-0084202 and NSF/EIA-9986042

Contact Information John Collins
Email: jcollins@cs.umn.edu

Contact Information Güleser Demir
Email: gdemir@cs.umn.edu

Contact Information Maria Gini
Email: gini@cs.umn.edu
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