摘要
针对在考虑风险因素时,资源就位时间的任何改变都可能使总工期和资源闲置时间发生变化,进而影响到施工计划总成本的情况,建立了总成本最低的最佳资源就位时间优化模型,并给出了利用蒙特卡罗(MC)法模拟和遗传算法求解各工作最佳资源就位时间的方法.实例验证结果表明,该优化模型优于CPM网络模型.
When the risk factors are taken into account, any changes in resource schedule may lead to the variation of the project duration and the unused time of resources, and further lead to some influences on the total cost of the project. In consideration of the above fact, an optimization model for optimal resource schedule at the lowest cost of the project was established, and the MC simulation and genetic algorithm were introduced to the solution of the optimal time of resource schedule. A case study shows that the optimization model is superior to CPM network model.
出处
《河海大学学报(自然科学版)》
CAS
CSCD
北大核心
2006年第4期465-468,共4页
Journal of Hohai University(Natural Sciences)
关键词
网络计划
资源调配
遗传算法
网络优化
network schedule
resource dispatching
genetic algorithm
network optimization