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A Multi-Agent Optimization Method for Preemptive Resource-Constrained Project Scheduling
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Author(s): Yongyi Shou (School of Management, Zhejiang University, Hangzhou, China), Wenjin Hu (Zhejiang University, Hangzhou, China), Changtao Lai (Zhejiang University, Hangzhou, China)and Ying Ying (Zhejiang University, Hangzhou, China)
Copyright: 2019
Volume: 10
Issue: 1
Pages: 13
Source title:
International Journal of Information Technology Project Management (IJITPM)
Editor(s)-in-Chief: John Wang (Montclair State University, USA)
DOI: 10.4018/IJITPM.2019010102
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Abstract
A multi-agent optimization method is proposed to solve the preemptive resource-constrained project scheduling problem in which activities are allowed to be preempted no more than once. The proposed method involves a multi-agent system, a negotiation process, and two types of agents (activity agents and schedule agent). The activity agents and the schedule agent negotiate with each other to allocate resources and optimize the project schedule. Computational experiments were conducted using the standard project scheduling problem sets. Compared with prior studies, results of the proposed method are competitive in terms of project makespan. The method can be extended to other preemptive resource-constrained project scheduling problems.
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