基于改进遗传算法的多项目资源均衡配置研究  

Multi-Project Resource Leveling Allocation Research Based on Improved Genetic Algorithm

作　　者：段世霞[1] 张金茹 Duan Shixia;Zhang Jinru(School of Management Engineering,Zhengzhou University,Zhengzhou 450001,China)

机构地区：[1]郑州大学管理工程学院,郑州450001

出　　处：《工业技术经济》2017年第10期96-102,共7页Journal of Industrial Technological Economics

摘　　要：如何解决建筑企业在多个项目中资源利用率和配置效率低下的问题,是施工方项目管理的一大难题。本文根据多项目工程施工特点,建立了多项目并行施工时的资源均衡优化模型。为了提高遗传算法对多项目资源配置问题求解的性能,本文对遗传算法进行了改进,并以某公司3个并行施工的工程项目为例,根据工程施工初始网络计划的资源需求,运用改进遗传算法(IGA)和遗传算法(GA)计算多项目的资源配置方差。结果表明,改进遗传算法可使资源配置达到更好的优化状态,并能得到各个项目非关键线路上工序的最佳开工时间,为建筑施工企业提供了具有实践价值的技术手段。It is a big problem in project management about how to solve resource utilization effi ciencyand allocative effi ciency in multiple projects.According to project engineering construction characteristics andconsidering the parallel construction of multi-project,this paper sets up resources equilibrium optimization model.In order to improve the performance of the genetic algorithm,this paper improves the genetic algorithms,andtakes three parallel construction of the projects in a company as an example,according to the initial networkplan of resource requirements construction of engineering construction,respectively,this paper uses improvedgenetic algorithm(IGA)and genetic algorithm(GA)to calculate the variance about allocation of resources.The results show that the improved genetic algorithm can get a better in optimizing the allocation of resources,at the same time,get the best starting time of project at non-critical lines by using improved genetic algorithm.Itprovides technology which has practical value for construction enterprises.

关 键 词：多项目 资源 均衡 改进遗传算法 模拟退火 资源配置 

分 类 号：F224.33[经济管理—国民经济]