工作流程中人员合作任务的调度优化模型仿真

发布时间：2018-04-23 01:14

本文选题：合作任务 + 调度　；参考：《计算机仿真》2014年12期

【摘要】：多人合作的大型工作任务进行调度,可以极大提高工作效率。大型企业的工作任务往往需要由多人次反复合作完成。人员之间的工作流程本身充满了利益矛盾,且矛盾呈现多维度,多链条的关系。传统的调度算法都是以单线路、单个人员的工作任务最优为目标,应用到多人次的过程中时,会由于矛盾过多,使模型不收敛,容易造成调度效率低,人力资源调配不合理。提出采用改进粒子群算法的工作流程中多人员合作任务的调度优化模型。对多人次、多任务建立优化目标,根据粒子群间的协作,对多人次调度过程进行求解,求得的接运用校验过程进行最优化试错,根据最终结果获取调度模型的最优解,得到工作流程中人员合作任务的最佳调度方法。实验结果表明,利用改进粒子群算法进行工作流程中人员合作任务调度优化处理,能够提高调度效率,提高资源利用率。
[Abstract]:The work task of multi-person cooperation can greatly improve the work efficiency. The work task of large enterprise often needs to be completed by multiple times and repeated cooperation. The work flow between people is full of conflicts of interest, and the contradiction presents multidimensional and multi chain relations. The work task is the best goal. When it is applied to the process of multiple person times, the model will not converge because of too many contradictions, and the scheduling efficiency is low and the allocation of human resources is not reasonable. The optimization model of multi personnel cooperation task in the workflow process of improving particle swarm optimization is proposed. According to the cooperation among the particle swarm, the multi time scheduling process is solved, and the test process is optimized. According to the final result, the optimal solution of the scheduling model is obtained. The optimal scheduling method for the personnel cooperation task in the workflow is obtained. The experimental results show that the improved particle swarm optimization algorithm is used to carry out the working process. The optimization of cooperative task scheduling can improve the efficiency of scheduling and improve the utilization rate of resources.

【作者单位】：武汉大学计算机学院;华中科技大学计算机学院;湖北省电力公司信息通信公司;
【分类号】：TP301.6

【参考文献】