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Grid computing is an innovative approach permitting the use of computing resources which are far apart and connected by Wide Area Networks. This recent technology has become extremely popular to optimize computing resources and manage data and computing workloads. The aim of this paper is to propose a metacomputing approach for the winner determination problem in combinatorial auctions (WDP). The proposed approach is a hybrid genetic algorithm adapted to the WDP and implemented on a grid computing platform.