摘要
在假定活动可分割的基础上,针对资源波动问题,提出了一个基于遗传算法的资源优化方法。首先在已知活动工期的基础上,确定项目工期,继而确定关键工序和非关键工序,并利用基于二元表示的遗传算法,对每个可分的非关键活动在其ES(最早开始时间)到LF(最迟结束时间)的范围内进行调整,以优化资源分配。最后引用一个示例,表明了提出的方法在资源优化方面的优越性。
On the assumption of partitioned activities,this paper proposed a new approach for resource optimization based on Genetic Algorithm（GA） to resolve the resource fluctuation problem.The project duration is determined according to the determined activity duration and then the critical procedures and non-critical procedures can be identified.Each partitioned non-critical activity can be adjusted in the range of earliest start time and latest start time by utilizing GA method denoted by binary digit to optimize the resource allocation.A case study shows the superiority of proposed method for resource optimization.
出处
《工程管理学报》
2011年第2期191-194,共4页
Journal of Engineering Management
关键词
资源优化
活动可分
遗传算法
resource optimization
activity partion
GA
