Computationally Manageable Combinational Auctions
Management Science
Solving Combinatorial Auctions Using Stochastic Local Search
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
An Intelligent Brokering System to Support Multi-Agent Web-Based 4th-Party Logistics
ICTAI '02 Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence
Heuristics for a bidding problem
Computers and Operations Research
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In this paper, a stochastic local search (SLS) is studied for the optimal winner determination problem (WDP) in combinatorial auctions. Experiments on various realistic instances of the considered problem are performed to show and compare the effectiveness of our approach. The computational experiments show that the SLS provides competitive results and finds solutions of a higher quality than Tabu search and Casanova methods.