施工技术 2015年9月下 86 CONSTRUCTION TECHNOLOGY 第44卷第18期 D01:10.7672/js2015180086 基于蚁群算法的施工项目成本优化 周书敬,赵丹1,李永吉2 (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) [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. [关键词]项目管理;系统可靠度;蚁群算法;优化配置 「中图分类号1TU71 [文献标识码]A [文章编号]1002-8498(2015)18-0086-04 Construction Project Cost Optimization Using ACO Zhou Shujing' Zhao Dan Li Yongji (1.School of Civil Engineering Hebei University of Engineering Handan Hebei 056038 China; 2.China Construction 4th Engineering Bureau 6th Co.Ld.Hefei Anhui 230000 China) Abstract:Construction engineering is regarded as a plex 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 pared 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 bines the reliability with the economy in the construction.It offers a new idea for the management of construction project. Key ...