Solving the winner determination problem via a weighted maximum clique heuristic

TitreSolving the winner determination problem via a weighted maximum clique heuristic
Type de publicationArticle de revue
AuteurWu, Qinghua, Hao, Jin-Kao
EditeurElsevier
TypeArticle scientifique dans une revue à comité de lecture
Année2015
DateJan-01-2015
Numéro1
Pagination 355–365
Volume42
Titre de la revueExpert Systems with Applications
ISSN0957-4174
Mots-clésWinner determination; Combinatorial auctions; Tabu search; Maximum clique; Heuristics; Combinatorial optimization
Résumé en anglais

Combinatorial auctions (CAs) where bidders can bid on combinations of items is an important model in many application areas. CAs attract more and more attention in recent years due to its relevance to fast growing electronic business applications. In this paper, we study the winner determination problem (WDP) in CAs which is known to be NP-hard and thus computationally difficult in the general case. We develop a solution approach for the WDP by recasting the WDP into the maximum weight clique problem (MWCP) and solving the transformed problem with a recent heuristic dedicated to the MWCP. The computational experiments on a large range of 530 benchmark instances show that the clique-based approach for the WDP not only outperforms the current best performing WDP heuristics in the literature both in terms of solution quality and computation efficiency, but also competes very favorably with the powerful CPLEX solver.

URL de la noticehttp://okina.univ-angers.fr/publications/ua7072
DOI10.1016/j.eswa.2014.07.027
Lien vers le document

http://dx.doi.org/10.1016/j.eswa.2014.07.027

Titre abrégéExpert Systems with Applications