基于遗传算法的建筑工程计划管理优化研究  

Optimization of Construction Engineering Plan Management Based on Genetic Algorithm

作　　者：张国富 ZHANG Guo-fu(Department of Civil Engineering, Chuzho Vocational and Technology College, Chuzhou 239000, China)

机构地区：[1]滁州职业技术学院土木工程系,安徽滁州239000

出　　处：《信阳农林学院学报》2020年第4期126-129,133,共5页Journal of Xinyang Agriculture and Forestry University

基　　金：安徽高校自然科学研究重点项目(KJ2015A362).

摘　　要：为了平衡建筑工程计划管理中工期和成本之间的矛盾,提出了一种基于遗传算法的优化模型,该模型能够在资源受限的情况下有效地平衡时间和成本。首先,设计了基于混沌技术的初始化技术和基于时间成本权衡的自适应变异策略,以确定能够最优化时间成本平衡的执行模式。然后,设计了资源受限子系统来生成可行的进度表。最后,使用施工案例来验证所提出模型的有效性。结果表明,与现有方法相比,本模型能够有效地缩短工程工期,降低总成本。In order to balance the contradiction between construction duration and cost in construction project management,this paper proposes an optimization model based on genetic algorithm,which can effectively balance time and cost in the case of limited resources.First,an initialization technique based on chaotic technology and an adaptive mutation strategy based on time cost tradeoffs are designed to determine the execution mode that can optimize the time cost balance.Then,a resource-constrained subsystem is designed to generate a feasible schedule.Finally,use construction cases to verify the effectiveness of the proposed model.The results show that,compared with the existing methods,the model in this paper can reduce the project duration and total cost.

关 键 词：建筑工程 计划管理优化 遗传算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]