基于蚁群算法的施工项目成本优化  

Construction Project Cost Optimization Using ACO

作　　者：周书敬[1] 赵丹[1] 李永吉[2] 

机构地区：[1]河北工程大学土木工程学院,河北邯郸056038 [2]中建四局第六建筑工程有限公司,安徽合肥230000

出　　处：《施工技术》2015年第18期86-89,共4页Construction Technology

摘　　要：将建设工程项目的施工过程看成一个复杂的网络系统,用系统可靠性理论与方法研究工程项目的施工系统可靠性,运用蚁群算法对施工网络系统中的各个工作单元的可靠度进行优化分配,进而求出整个工程项目的成本,解决可靠性约束下的成本优化问题。最后,通过工程实例证明该方法的可行性,并和遗传算法的计算结果进行比较,结果表明蚁群算法在求解施工成本优化问题方面更具优越性,为建设工程项目管理提供了一种新思路。Construction engineering is regarded as a complex network system,the reliability of the construction system is analyzed according to the principles of reliability engineering,and the optimization of cost is solved,it can harmonize the economics and reliability. The paper solves the optimization of reliability and cost based on ant colony algorithm（ ACO）. Finally,the efficiency of the proposed method is verified,an example was conducted and the results were compared with that of the genetic algorithm.The results indicate that the ACO algorithm is much suitable for solving cost optimization of construction system. It also shows the advantage of the new method which combines the reliability with the economy in the construction. It offers a new idea for the management of construction project.

关 键 词：项目管理 系统可靠度 蚁群算法 优化配置 

分 类 号：TU71[建筑科学—建筑技术科学]