杜志达

个人信息Personal Information

教授

硕士生导师

性别:男

毕业院校:大连理工大学

学位:博士

所在单位:水利工程系

学科:水利水电工程. 工程管理

办公地点:3号实验楼322

联系方式:0411-84706686

电子邮箱:duzhida@dlut.edu.cn

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基于微粒群算法的工程项目资源均衡优化

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发表时间:2007-01-01

发表刊物:土木工程学报

期号:2

页面范围:93-96

ISSN号:1000-131X

摘要:The PSO (particle swarm optimization) was applied for the unlimited resource leveling optimization of construction engineering in this paper. Defined the particle swarm whose coordinates were used for the activity's actual start time. Established the appraisal function between the resource variance and the activity's actual start time. Searched the best schedule of project by the evolution of the particle swarm' s position during its flying. Finally, the resource intensity obtained by PSO reduced 75.2% compared to the initial schedule, reduced 26.97% compared to the GA's (genetic algorithm) result according to the case analysis. Validated the feasibility and the effectivity of the PSO in the unlimited resource leveling optimization, and also obtained several secondary optimum schedules as well as the best one. Therefore, this method has its practical application value for the resource leveling optimization.

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