在施工项目规划问题中群智能算法的应用研究

The application of swarm intelligence algorithms in the construction project planning problem

探索了群智能算法的混合并加入模糊集理论来尝试解决工程优化问题.将HGAPSO算法应用在工程实践的实际案例中,并与其他算法运算结果进行了对比.结果表明,在本文中的两个实际案例中的TCRO问题里,HGAPSO算法能够更好地找出问题的最优解.

Project progress control is one of the three major controls in the current project management—quality control,progress control and cost control.The progress control generally adopts network planning technology.In the technical problems of network planning,scientists usually use the theory of“minimum cut set”,charting method and other methods to deal with the problem of duration optimization.In recent years,swarm intelligence algorithms have been widely used in network planning problems in construction projects,such as taboo search method(TS),simulated annealing method(SA),particle group algorithm(PSO),and genetic algorithm(GA).In this paper,the HGAPSO algorithm is applied in the practical case of engineering practice,and the results are compared with those of other algorithms,and the results show that in the TCRO problem in the two practical cases in this paper,the HGAPSO algorithm can find out the better solution for the problems.