首页 | 本学科首页   官方微博 | 高级检索  
     

A RELIABILTY CAPACITY OPTIMIZATION ALGORITHM FOR STOCHASTIC FLOW NETWORKS
引用本文:Chen Hua Zhou Jiaqi Tang Nengming. A RELIABILTY CAPACITY OPTIMIZATION ALGORITHM FOR STOCHASTIC FLOW NETWORKS[J]. 保鲜与加工, 1988, 0(3)
作者姓名:Chen Hua Zhou Jiaqi Tang Nengming
作者单位:Chen Hua Zhou Jiaqi Tang Nengming
摘    要:A model and a heuristic algorithm for reliabilty op timi zation in generalized stochastic flow networks are proposed in this paper. The stochastic characteristic of the demands at terminal nodes is considered in the model. The algorithm proposed is powerful and can be applied to optimal planning of transmission capacity for large scale stochastic flow networks, because it can facilitate a fast location of optimal capacity expansion from the information obtained by the last iteration by making full use of the relationships of the k-weak link set and failure events set to the paramsters in generalized stochastic flow networks

关 键 词:reliability   optimization algorithm   network flow   planning

A RELIABILTY CAPACITY OPTIMIZATION ALGORITHM FOR STOCHASTIC FLOW NETWORKS
Chen Hua Zhou Jiaqi Tang Nengming. A RELIABILTY CAPACITY OPTIMIZATION ALGORITHM FOR STOCHASTIC FLOW NETWORKS[J]. Storage & Process, 1988, 0(3)
Authors:Chen Hua Zhou Jiaqi Tang Nengming
Affiliation:Chen Hua Zhou Jiaqi Tang Nengming
Abstract:A model and a heuristic algorithm for reliabilty op timi zation in generalized stochastic flow networks are proposed in this paper. The stochastic characteristic of the demands at terminal nodes is considered in the model. The algorithm proposed is powerful and can be applied to optimal planning of transmission capacity for large scale stochastic flow networks, because it can facilitate a fast location of optimal capacity expansion from the information obtained by the last iteration by making full use of the relationships of the k-weak link set and failure events set to the paramsters in generalized stochastic flow networks
Keywords:reliability   optimization algorithm   network flow   planning
点击此处可从《保鲜与加工》浏览原始摘要信息
点击此处可从《保鲜与加工》下载全文
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