Algorithm for optimal winner determination in combinatorial auctions
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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.read more
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A stochastic programming winner determination model for truckload procurement under shipment uncertainty
TL;DR: In this paper, a two-stage stochastic integer programming model for the winner determination problem (WDP) in combinatorial auctions is proposed to hedge the shipper's risk under shipment uncertainty.
Book
Multiagent Resource Allocation with K -additive Utility Functions
TL;DR: This work gives particular consideration to scenarios where the preferences of agents are modelled in terms of k-additive utility functions, i.e. scenarios where synergies between different resources are restricted to bundles of at most k items.
Journal ArticleDOI
Multiagent resource allocation in k -additive domains: preference representation and complexity
TL;DR: A framework for multiagent resource allocation where autonomous software agents negotiate over the allocation of bundles of indivisible resources is studied, giving particular consideration to scenarios where the preferences of agents are modelled in terms of k-additive utility functions.
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Transportation Procurement with Seasonally Varying Shipper Demand and Volume Guarantees
TL;DR: This paper studies a shipper's transportation procurement model, in which the shipper gives assurances, through volume guarantees negotiated with the transportation companies, that shipments made in nonpeak periods will be commensurate with shipments in peak periods.
Journal ArticleDOI
A multi-agent system for decentralized multi-project scheduling with resource transfers
TL;DR: This paper proposes a novel distributed multi-agent system using auctions based negotiation (DMAS/RIA) approach for the resource intervals and allocating multiple different types of shared resources amongst multiple competing projects.
References
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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.
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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.
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Incentives in Teams
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.