节点文献
基于粒子群算法的PERT网络优化问题研究
Study on PERT Network Optimization Based on Particle Swarm Algorithm
【摘要】 针对工程项目PERT网络计划工期-费用优化问题,尝试引入粒子群算法。在保证不陷入局部最优的前提下,为提高收敛速度,用线性规划方法建立数学模型,并采用了改进的PSO算法。实际算例的仿真结果表明,该方法具有收敛速度快、运算简单、易于实现等优点。
【Abstract】 For solving time-cost optimization problems of PERT(Program Evaluation and Review Technique) network plans,the model was represented with linear programming,and a particle swarm optimization algorithm was used to solve this problem.The effectiveness of particle swarm optimization algorithm is proved by an example of the actual application,and the simulation results indicate that the method can be reliably applied to engineering project.
【关键词】 工期—费用;
项目进度计划;
最优化;
粒子群算法;
【Key words】 time-cost; project implementation schedule; optimization; particle swarm algorithm;
【Key words】 time-cost; project implementation schedule; optimization; particle swarm algorithm;
【基金】 国家自然科学基金资助项目(70471077);教育部高等学校博士点基金资助项目(20020487046)
- 【文献出处】 水电能源科学 ,Water Resources and Power , 编辑部邮箱 ,2006年05期
- 【分类号】F284;F224
- 【被引频次】19
- 【下载频次】207