A Data Set Generation Algorithm in Combinatorial Auctions

The generation of realistic data sets in a Combinatorial Auction may be a challenging problem. Well-formed data sets are very useful in the evaluation of algorithms trying to solve the winner determination problem. In this paper a general data set generation scheme is presented, both from an algorithmic and economic point of view. As a case study, a possible auction setting is discussed where the goods on sale are connections between points in space.

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Year of publication:	2006-01
Authors:	Gallo, Crescenzio ; Stasio, Giancarlo De ; Letizia, Cristina Di
Institutions:	Dipartimento di Scienze Economiche, Matematiche e Statistiche, Dipartimento di Economia
Subject:	bid \| combinatorial auction \| data set generation

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Extent:	application/pdf
Series:	Quaderni DSEMS.
Type of publication:	Book / Working Paper
Language:	English
Classification:	C51 - Model Construction and Estimation ; C61 - Optimization Techniques; Programming Models; Dynamic Analysis ; C87 - Econometric Software ; C99 - Design of Experiments. Other
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005628767