Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
11-2007
Abstract
We consider the problem of resource allocation and scheduling where information and decisions are decentralized, and our goal is to propose a market mechanism that allows resources from a central resource pool to be allocated to distributed decision makers (agents) that seek to optimize their respective scheduling goals. We propose a generic combinatorial auction mechanism that allows agents to competitively bid for the resources needed in a multi-period setting, regardless of the respective scheduling problem faced by the agent, and show how agents can design optimal bidding strategies to respond to price adjustment strategies from the auctioneer. We apply our approach to handle real-time large-scale dynamic resource coordination in a mega-scale container terminal.
Discipline
Artificial Intelligence and Robotics | Business | Operations Research, Systems Engineering and Industrial Engineering
Publication
IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2007: IAT '07: 2-5 November 2007, Fremont, CA: Proceedings
First Page
407
Last Page
411
ISBN
9780769530277
Identifier
10.1109/IAT.2007.41
Publisher
IEEE Computer Society
City or Country
Los Alamitos, CA
Citation
LAU, Hoong Chuin; CHENG, Shih-Fen; LEONG, Thin Yin; PARK, Jong Han; and ZHAO, Zhengyi.
Multi-Period Combinatorial Auction Mechanism for Distributed Resource Allocation and Scheduling. (2007). IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2007: IAT '07: 2-5 November 2007, Fremont, CA: Proceedings. 407-411.
Available at: https://ink.library.smu.edu.sg/sis_research/208
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://dx.doi.org/10.1109/IAT.2007.41
Included in
Artificial Intelligence and Robotics Commons, Business Commons, Operations Research, Systems Engineering and Industrial Engineering Commons