Particle Swarm Optimization Method for Resource-Constrained Project Scheduling Problem

摘要：

Particle swarm optimization (PSO) algorithm for resource-constrained project scheduling problem (RCPSP) is introduced in the paper. The activities sequence encoded with the simple code rule by the code order is just corresponding to the project scheme fulfilling the precedence constraint, and it is convenient to calculate the start time scope (solution space) of all activities in the project. The precedence constrain of activities are processed directly by the repair strategy and the resource constrain of the project are processed indirectly by calculating the fitness value of the particle in the process of PSO evolutions, thus avoid the complex project arrangement and take advantage of the swarm characteristic of PSO to find the best particle fulfilling the optimization object in the solution space. The application to typical project shows us the validity of using PSO to solve RCPSP.

关键词： Particle swarm optimization resource-constrained project scheduling problem repair strategy

作者: Kai Zhang Guorong Zhao Jing Jiang

作者单位: Department of Control Engineering,Naval University of Aeronautics and Astronautics Er-ma Road 188,Yan Tai 264001,China

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 4020-4024

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）