摘要
提出了基于改进粒子群的多元化特征下物流企业审计目标优化方法,通过对种群中的个体进行非支配排序,从多个目标中获取优化区域,避免粒子群陷入局部最优问题,采用环境变化检测算子提高算法对多元化特征环境的适应能力,调整算法的选择方案和操作算子以解决物流企业审计目标多元化特征,并对算法进行了仿真实验。
In this paper, we proposed the method for the optimization of the auditing objective of logistics enterprises with diversified characteristics based on improved particle swarm algorithm, introduced the procedures of the application of the method and at the end used a simulation experiment to prove the validity of the algorithm.
出处
《物流技术》
北大核心
2013年第11期275-277,共3页
Logistics Technology
关键词
多元化特征
物流企业审计目标
改进粒子群算法
diversified characteristics
auditing objective of logistics enterprise
improved particle swarm algorithm
