基于改进遗传算法的多项目资源均衡配置研究

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。

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

It is a big problem in project management about how to solve resource utilization efficiency and allocative efficiency in multiple projects. According to project engineering construction characteristics and considering 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，and takes three parallel construction of the projects in a company as an example，according to the initial network plan of resource requirements construction of engineering construction，respectively，this paper uses improved genetic 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. It provides technology which has practical value for construction enterprises.