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General Information
    • ISSN: 2010-3697
    • Frequency: Bimonthly
    • DOI: 10.7763/IJMO
    • Editor-in-Chief: Prof. Adrian Olaru
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: Engineering & Technology Digital Library, ProQuest, Crossref, Electronic Journals Library, Google Scholar, EI (INSPEC, IET).
    • E-mail ijmo@iacsitp.com
Editor-in-chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2012 Vol.2(4): 524-528 ISSN: 2010-3697
DOI: 10.7763/IJMO.2012.V2.175

A Multiagent Based System for Resource Allocation and Scheduling of Distributed Projects

Sunil Adhau and M. L. Mittal

Abstract—In this paper, a multi agent based decentralized decision making approach is presented for allocating resources and scheduling of distributed multiple projects. The resource allocation and scheduling is performed cooperatively and collectively by a group of autonomous project agents, resource agents and a mediator agent. We propose a price mechanism that allows project agents to bid for the needed resources. A new contract net protocol (CNP) concept is used for negotiations and coordination among the agents. This approach is successfully applied on an example problem.

Index Terms—CNP; bidding; Multiagent; Multi project; Scheduling.

Sunil Adhau is with the Mechanical Engineering Department, Government Polytechnic Pune 411016 INDIA (*corresponding author mobile: +91-9922370325; fax: +91-020-25656217; e-mail: suniladhau@ gmail.com).
M. L. Mittal is with the Department of Mechanical Engineering, Malaviya National Institute of Technology, JAIPUR 302017 INDIA. (e-mail: mlmittal.mnit@gmail.com).

[PDF]

Cite: Sunil Adhau and M. L. Mittal, "A Multiagent Based System for Resource Allocation and Scheduling of Distributed Projects," International Journal of Modeling and Optimization vol. 2, no. 4, pp. 524-528, 2012.

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