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Algorithm for optimal winner determination in combinatorial auctions

Tuomas Sandholm
- 01 Feb 2002 - 
- Vol. 135, Iss: 1, pp 1-54
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TLDR
The algorithm allows combinatorial auctions to scale up to significantly larger numbers of items and bids than prior approaches to optimal winner determination by capitalizing on the fact that the space of bids is sparsely populated in practice.
About
This article is published in Artificial Intelligence.The article was published on 2002-02-01 and is currently open access. It has received 1045 citations till now. The article focuses on the topics: Combinatorial auction & Common value auction.

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Continuous set packing and near-Boolean functions

TL;DR: This work proposes a novel near-Boolean optimization method relying on a polynomial multilinear form with variables ranging each in a high-dimensional unit simplex, rather than in the unit interval as usual.
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A novel multi-robot coordination method using capability category

TL;DR: A novel combinatorial bids method followed with some discussions is proposed to solve the multi-robot task allocation problem mainly focusing on the capability category aspect.

On effectiveness of two reverse auction procurement models for multiple buyers

TL;DR: In this paper, the authors compared the performance of two different combinatorial reverse auction models for multiple buyers and found that the group-buying model outperformed multiple independent combinatorially reverse auctions not only in efficiency but also in performance.
Book ChapterDOI

A Demand-Based Allocation Mechanism for Virtual Machine

TL;DR: This work presents an auction framework for VM allocation based on multi-time period, then proves the mechanism satisfies individual rationality and incentive compatibility, and tries to use the real workload file to perform simulation experiments to verify the effectiveness of the improved online mechanism.
References
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Book

Introduction to Algorithms

TL;DR: The updated new edition of the classic Introduction to Algorithms is intended primarily for use in undergraduate or graduate courses in algorithms or data structures and presents a rich variety of algorithms and covers them in considerable depth while making their design and analysis accessible to all levels of readers.
Book ChapterDOI

Reducibility Among Combinatorial Problems

TL;DR: The work of Dantzig, Fulkerson, Hoffman, Edmonds, Lawler and other pioneers on network flows, matching and matroids acquainted me with the elegant and efficient algorithms that were sometimes possible.
Book

Integer programming

TL;DR: The principles of integer programming are directed toward finding solutions to problems from the fields of economic planning, engineering design, and combinatorial optimization as mentioned in this paper, which is a standard of graduate-level courses since 1972.
Journal ArticleDOI

Incentives in Teams

Theodore Groves
- 01 Jul 1973 - 
TL;DR: This paper analyzes the problem of inducing the members of an organization to behave as if they formed a team and exhibits a particular set of compensation rules, an optimal incentive structure, that leads to team behavior.