摘要
根据水电工程施工资源投入的特点,建立了考虑资金动态投资影响的多资源均衡优化模型,为了能对其进行高效求解,提出了一种新的模拟退火遗传算法(SAGA),并以某水电站工程为例,根据施工网络计划的资源需求,分别应用模拟退火遗传算法和遗传算法(GA)计算该项目的利息损失、费用标准方差和最大费用等优化参数。结果表明,SAGA算法可使资源配置得到更好的优化,同时运用模拟退火遗传算法得到了该项目各道施工工序的最佳开工时间,通过调整每一工序的开工时间,可使施工资源得到均衡优化。
According to the characteristics of hydropower project construction resources,a multi-resources equilibrium optimization model was established by considering the dynamic investment.A new simulated annealing genetic algorithm（SAGA）was proposed to solve the model efficiently.A certain example is introduced to validate the algorithm.According to the resource requirements of the construction network program,SAGA and genetic algorithm were used to calculate the interest loss,cost,standard variance and maximum cost.The results show that the SAGA algorithm can optimize the resource allocation,and the optimal operating time of each process is obtained by using the simulated annealing genetic algorithm.
出处
《水电能源科学》
北大核心
2016年第1期138-141,18,共5页
Water Resources and Power
关键词
水电工程
资金动态投资
施工资源优化
模拟退火遗传算法
hydropower project
dynamic investment
optimization of construction resource
similar annealing-genetic algorithm
