首页 | 本学科首页   官方微博 | 高级检索  
     

基于粒子群的供应链认知图优化方法研究
引用本文:曹薇.基于粒子群的供应链认知图优化方法研究[J].微型电脑应用,2008,24(12):10-12.
作者姓名:曹薇
作者单位:上海交通大学软件学院物流与信息系统实验室,上海,200240
摘    要:在现代社会,供应链逐渐全球化,供应链风险产生的影响也越来越大。该文就是以供应链风险为研究对象,结合认知图和粒子群优化算法的长处,提出以认知图模拟供应链网络、以粒子群算法优化认知图的方法来研究预测供应链风险的方法。该方法真实有效地模拟了供应链网络的运行状况,能有效地克服当前预警模型缺乏自我学习能力等优点,为供应链预警研究提供了一条可行的实现途径。

关 键 词:供应链  预警  认知图  粒子群优化算法

Research on the Cognitive Map Optimization Algorithm of the Supply Chain Based on Particle Swarm
CAO Wei.Research on the Cognitive Map Optimization Algorithm of the Supply Chain Based on Particle Swarm[J].Microcomputer Applications,2008,24(12):10-12.
Authors:CAO Wei
Affiliation:CAO Wet(Logistics , Information System Lab,Shanghai Jiaotong University,Shanghai 200240,China)
Abstract:In the modern society,supply chain has been globalized,along with the risks brought by it.Focusing on the research on the supply chain risk, this paper integrates the advantages of the cognitive map and the particle swarm optimization,and finds a new way to pre-alert supply chain risk based on cognitive map simulating supply chain network and particle swarm optimizing cognitive map algorithm.This method simulates the work condition of supply chain net effectively,and adds the self-study attribute compared w...
Keywords:Supply chain  Pre-alert  Cognitive map  Particle swarm optimization algorithm  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号