基于遗传算法的工程项目群工期-费用优化研究  

Optimization of Project Group Duration-Cost Based on Genetic Algorithm

作　　者：丰景春[1,2,3] 施嘉锋 丰慧 张可 Feng Jingchun;Shi Jiafeng;Feng Hui;Zhang Ke(School of Business,Hohai University,Nanjing 211106,China;Institute of Project Management,Hohai University,Nanjing 211106,China;Jiangsu Provincial Collaborative Innovation Center of World Water Valley and Water Ecological Civilization,Nanjing211106,China;International River Research Centre of Hohai University,Nanjing 211106,China)

机构地区：[1]河海大学商学院,江苏南京211106 [2]河海大学项目管理研究所,江苏南京211106 [3]江苏省世界水谷与水生态文明协同创新中心,江苏南京211106 [4]河海大学国际河流研究中心,江苏南京211106

出　　处：《科技管理研究》2020年第20期212-218,共7页Science and Technology Management Research

基　　金：住房和城乡建设部科学技术计划项目“城乡建设工程智慧平台研发与应用”(2018-K8-023);国家社会科学基金项目“工程建设市场主体社会化监管机制研究”(17BGL156)。

摘　　要：首先根据项目群工期与费用的特点分析项目群工期与费用优化机理;然后在工程质量得以保障的假设前提下构建项目群工期-费用优化模型,依据遗传算法原理对模型进行求解;最后引入大型工程项目群案例进行项目群工期-费用优化实证分析。研究结果显示:利用实数编码以及保留精英子代的遗传算法能直观而又准确地解决项目群费用的优化问题,同时达到在一定程度上缩短工期的效果。Firstly,according to the characteristics of project group duration and cost,this paper analyzes the mechanism of project group duration and cost optimization;then,based on the assumption that the quality of the project can be guaranteed,the paper constructs duration-cost optimization model,and the model is solved according to the principle of genetic algorithm;Finally,the paper introduces the case of large-scale project group to analyze the project group duration-cost optimization.The results show that the genetic algorithm using real number coding and retaining elite offspring can solve the optimization problem of project group cost intuitively and accurately,and at the same time,it can shorten the time limit to a certain extent.

关 键 词：项目群 工期-费用优化 遗传算法 

分 类 号：C935[经济管理—管理学] F224