基于改进粒子群算法的工程项目多目标集成管理研究  

Research on Multi-objective Comprehensive Optimization of Engineering Project Based on Improved Particle Swarm Optimization

作　　者：钱学艳 綦振法[1] 张立涛[1] 罗海杰 QIAN Xue-yan;QI Zhen-fa;ZHANG Li-tao;LUO Hai-jie(School of Management,Shandong University of Technology,Zibo 250012,China)

机构地区：[1]山东理工大学管理学院

出　　处：《价值工程》2020年第5期135-138,共4页Value Engineering

基　　金：教育部人文社会科学基金面上项目(15YJA630100):IT能力对企业技术创新的作用：基于5家高新技术企业的多案例研究

摘　　要：传统工程项目注重对工期、成本、质量三大目标的研究,较少考虑其他控制目标,造成工程项目分析不全面。针对这一不足,将安全和绿色环保目标纳入工程管理目标,形成更全面的多目标管理体系。首先,研究多目标之间的非线性函数关系,并对质量、绿色和安全目标进行量化。其次,利用目标集成优化理论构建工期-成本-质量-绿色-安全的多目标综合集成优化模型,采用改进的粒子群算法对模型进行求解。最后,将构建的集成优化模型用于实际项目中进行模型适用性验证,同时验证了改进的粒子群算法对实际项目五目标模型求解的有效性。Traditional engineering projects focus on the study of the three major objectives of construction period,cost and quality,and less consideration of other control objectives,resulting in incomplete analysis of engineering projects.In view of this deficiency,safety and green environmental protection objectives are incorporated into the project management objectives to form a more comprehensive multi-objective management system.Firstly,the non-linear function relationship among multi-objective is studied,and the quality,green and safety objectives are quantified.Secondly,the multi-objective comprehensive optimization model of construction period cost quality green safety is constructed by using the objective optimization theory,and the improved particle swarm optimization algorithm is used to solve the model.Finally,the optimization model is used in the actual project to verify the applicability of the model.At the same time,the effectiveness of the improved particle swarm optimization algorithm to solve the five objective model of the actual project is verified.

关 键 词：多目标集成管理 建设工程 改进粒子群算法 

分 类 号：TU71[建筑科学—建筑技术科学]