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A Combinatorial Auctions Based Approach to Solving the Transportation Oil Products Problem
Recent researches show that approaches based on auctions and multi-agent systems are efficient on the resolution of planning problems in supply chains. This paper proposes a multi-agent system that uses combinatorial auctions to solve the oil derivative transport planning problem in multimodal networks in order to find a more efficient solution than with simultaneous auction techniques.