基于改进遗传算法的工程项目多目标优化研究  

Research on Multi-objective Optimization of Engineering Project Based on Improved Genetic Algorithm

作　　者：王玫婷 张建坤[1] 黄有亮[1] 

机构地区：[1]东南大学土木工程学院,江苏南京210096

出　　处：《建筑经济》2017年第11期26-31,共6页Construction Economy

摘　　要：工程项目管理的主要目标即工期、质量、成本三大目标。将工程项目分解为各个工程活动进行研究,采用非线性函数来定量化描述三大目标的两两关系。根据多属性效用函数理论,建立多目标综合优化模型,并采用实数编码改进的遗传算法求解模型。最后,通过案例证实所建立的多目标优化模型的可行性及优越性:能有效缩短项目工期,降低成本,提高质量。Time, cost and quality are three main objects of engineering project management. The paper divides engineering project into various engineering activities to study and uses the non-linear function to describe the interrelation of the three main objects quantitatively. Based on the multi-attribute utility function theory, establishes the multi-objects optimization model and solves the genetic algorithms improved by real number encoding. Finally, uses a case study to confirm the feasibility and superiority of the multi-objects optimization model, which can shorten the duration, reduce the cost and improve the quality.

关 键 词：工程项目管理 多目标优化 多属性效用函数 遗传算法 

分 类 号：TU12[建筑科学—建筑理论]