基于ACO算法的建设项目施工多目标优化  

Multi-objective Optimization of Construction Project Based on ACO Algorithm

作　　者：胡潇 HU Xiao(Tianjin Huaye Engineering Design Co.,Ltd.,Tianjin 300270,China)

机构地区：[1]天津华冶工程设计有限公司,天津300270

出　　处：《价值工程》2018年第34期103-106,共4页Value Engineering

摘　　要：本文通过分析网络计划中的逻辑关系,构建求解施工项目多目标优化的数学模型。将施工网络图模型抽象为蚂蚁觅食模型,运用ACO算法求解较优的施工模式路径组合,并利用Pareto思想选择保留较优的组合。最后,利用一个算例证明了智能化的蚁群算法可以克服传统多目标优化结果单一并且受人为因素影响的缺点,从而实现提高优化效率、优化运算结果。In this paper,a mathematical model for multi-objective optimization of construction projects is constructed by analyzing the logic relationship in network planning.The construction network graph model is abstracted as an ant foraging model.The ACO algorithm is used to solve the optimal construction mode path combination.And the Pareto thought is used to select the optimal combination.In the last,this manuscript uses an example to prove that intelligent ant colony optimization algorithm can overcome the shortage that the result of traditional multi-objective optimization is single and is easily affected by man-made factors.As well as the ant colony optimization can achieve the goal of improving the efficiency of optimization and optimizing operation results.

关 键 词：建设项目 ACO算法 施工网络计划 多目标优化 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]