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H. H. Hoos and C. Boutilier, “Solving Combinatorial Auctions using Stochastic Local Search,” Proceedings of the 17th National Conference on Artificial Intelligence, Austin, 30 July-3 August 2000, pp. 22-29.

has been cited by the following article:

• TITLE: Evolutionary Techniques for Reverse Auctions

  AUTHORS: Shubhashis Kumar Shil, Samira Sadaoui, Malek Mouhoub

  KEYWORDS: Winner Determination; Combinatorial Reverse Auctions; Genetic Algorithms

  JOURNAL NAME: Intelligent Control and Automation, Vol.4 No.4, November 13, 2013

  ABSTRACT: Winner determination is one of the main challenges in combinatorial auctions. However, not much work has been done to solve this problem in the case of reverse auctions using evolutionary techniques. This has motivated us to propose an improvement of a genetic algorithm based method, we have previously proposed, to address two important issues in the context of combinatorial reverse auctions: determining the winner(s) in a reasonable processing time, and reducing the procurement cost. In order to evaluate the performance of our proposed method in practice, we conduct several experiments on combinatorial reverse auctions instances. The results we report in this paper clearly demonstrate the efficiency of our new method in terms of processing time and procurement cost.