面向公路施工成本模型的优化PSO算法研究  

Research on Optimization PSO Algorithm for Highway Construction Cost Model

作　　者：张振生[1] ZHANG Zhensheng(China Railway 18th Bureau Group Fourth Engineering Co.,Ltd.,Tianjin 300350,China)

机构地区：[1]中铁十八局集团第四工程有限公司,天津300350

出　　处：《佳木斯大学学报（自然科学版）》2023年第2期115-118,共4页Journal of Jiamusi University：Natural Science Edition

摘　　要：传统的施工项目管理方式和资源优化方法造成了资源浪费,因此研究提出了基于PSO算法的公路成本优化模型,首先通过对现行公路施工管理下成本指标进行分析,得出了施工成本计算模型并将其分为多部分的目标优化模型,同时应用粒子群算法对多目标优化问题进行求解。通过仿真表明,PSO算法模型优化之后成本减少了316.1万,而施工实践缩减了98天。实验证明,基于PSO的公路施工成本优化模型可以有效减少公路施工中的时间消耗和成本资源消耗。Traditional construction project management and resource optimization methods cause waste of resources.Therefore,a highway cost optimization model based on PSO algorithm is proposed.First,by analyzing the cost indicators under the current highway construction management,the construction cost calculation model is obtained and divided into multi-objective optimization models.At the same time,particle swarm optimization algorithm is applied to solve the multi-objective optimization problem.Simulation results show that the cost of PSO algorithm model optimization is reduced by 3.161 million,and the construction practice is reduced by 98 days.The experiment proves that the highway construction cost optimization model based on PSO can effectively reduce the time consumption and cost resource consumption in highway construction.

关 键 词：公路施工成本 粒子群算法 惯性权重 

分 类 号：TU71[建筑科学—建筑技术科学]