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Solving Concisely Expressed Combinatorial Auction Problems

机译:解决简明地表达了组合拍卖问题

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Combinatorial auctions provide a valuable mechanism for the allocation of goods in settings where buyer valuations exhibit complex structure with respect to substitutability and complementarity. Most algorithms are designed to work with explicit "flat" bids for concrete bundles of goods. However, logical bidding languages allow the expression of complex utility functions in a natural and concise way, and have recently attracted considerable attention. Despite the power of logical languages, no current winner determination algorithms exploit the specific structure of logically specified bids to solve problems more effectively. In this paper, we describe techniques to do just this. Specifically, we propose a direct integer program (IP) formulation of the winner determination problem for bids in the L_(GB) logical language. This formulation is linear in the size of the problem and can be solved effectively using standard optimization packages. We compare this formulation and its solution time to those of the corresponding set of flat bids, demonstrating the immense utility of exploiting the structure of logically expressed bids. We also consider an extension of L_(GB) and show that these can also be solved using linear constraints.
机译:组合拍卖提供了一种有价值的机制,用于在买方估值与互斥性和互补性表现复杂结构的情况下分配商品的有价值机制。大多数算法旨在与混凝土捆绑的混凝土捆绑的明确“平面”出价。然而,逻辑竞标语言允许以自然和简洁的方式表达复杂的实用程序功能,并且最近引起了相当大的关注。尽管有逻辑语言的力量,但没有当前的获胜者确定算法利用逻辑指定出价的具体结构更有效地解决问题。在本文中,我们描述了这样做的技术。具体而言,我们提出了直接整数计划(IP)制定了L_(GB)逻辑语言中出价的获胜者确定问题。该配方在问题的尺寸下是线性的,并且可以使用标准优化包有效地解决。我们将此配方及其解决方案时间与相应的平板投标集进行比较,展示利用逻辑表达出价的结构的巨大效用。我们还考虑L_(GB)的扩展,并显示这些也可​​以使用线性约束来解决这些问题。

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