Particle Swarm Optimization for Preemptive Project Scheduling with Resource Constraints

被引：0

作者：

Li, Fei ^{[1
]}

Lai, Changtao ^{[1
]}

Shou, Yongyi ^{[1
]}

机构：

[1] Zhejiang Univ, Sch Management, Hangzhou 310003, Zhejiang, Peoples R China

来源：

2011 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEM) | 2011年

关键词：

Project scheduling; preemption; particle swarm optimization;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper studies preemptive project scheduling with resource constraints. We developed a particle swarm optimization (PSO) method based on two different particle representations to solve the problem which permits each activity to preempt at most once. Computational experiments are provided to investigate the performance of PSO-based approaches and to compare two representations. The result shows that preemption helps to reduce project duration and the PSO method we developed can handle preemptive project scheduling efficiently.

引用

页码：869 / 873

页数：5

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