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Journal of Algorithms
Article . 2008 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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DIGITAL.CSIC
Article . 2018 . Peer-reviewed
Data sources: DIGITAL.CSIC
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Article . 2017
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A test suite for the evaluation of mixed multi-unit combinatorial auctions

Authors: Meritxell Vinyals; Andrea Giovannucci; Jesús Cerquides; Pedro Meseguer; Juan A. Rodríguez-Aguilar;

A test suite for the evaluation of mixed multi-unit combinatorial auctions

Abstract

Mixed Multi-Unit Combinatorial Auctions extend and generalize all the preceding types of combinatorial auctions. In this paper, we try to make headway on the practical application of MMUCAs by: (1) providing an algorithm to generate artificial data that is representative of the sort of scenarios a winner determination algorithm is likely to encounter; and (2) subsequently assessing the performance of an Integer Programming implementation of MMUCA in CPLEX. © 2008 Elsevier Inc. All rights reserved.

This work has been partially funded by the Spanish projects TIN2006-15662-C02-01 and “Agreement Technologies” (CONSOLIDER CSD2007-0022, INGENIO 2010). The work of Meritxell Vinyals is supported by the Ministry of Education of Spain (FPU grant AP2006-04636).

Peer Reviewed

Country
Spain
Keywords

Multiagent systems, Supply chain formation, Combinatorial auctions

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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