云模糊循环堆栈应急调度耦合态势优化模型
|
摘要
在特大地震灾害等突发事件救援力量和资源应急智能调度中,需要构建调度网络,应急调度网络的耦合态势的优化设计,对提高调度网络的活力和效率至关重要。提出一种基于云模糊循环堆栈的应急调度耦合态势优化模型,基于基本交汇点疏散特征与可控疏散网络的构建原则,构建网络模型,网络配置中涵盖了紧急疏散的规划和政策制定、路径选择、救灾物资发放和资源的合理配置、以及灾后重建等。设立工作区、装备区、指挥部等,进行正确的区域、场所的划分和设定。对突发事件应急调度网络的能量节点进行模糊循环堆栈控制设计,得到救援力量最优配置,增强突发事件应急调度网络系统的稳定性,实现对网模型的耦合态势优化控制。仿真结果表明,该模型能有效提高应急救援的吞吐性能,突发事件的应急救援和资源调度的响应时间缩短,性能提高。
In the earthquake disaster emergency rescue force and resource emergency intelligent scheduling, it needs to construct a scheduling network, optimization design of coupling situation of emergency dispatch network is necessary, it is essential to improve the vitality and efficiency of scheduling network. A emergency Scheduling optimization model of cycle coupling situation is proposed based on fuzzy cloud stack, the basic point of intersection construction principles and controllable evacuation evacuation based on network, the construction of a network model is obtained, network configuration covers emergency evacuation planning and policy formulation, and disaster relief material release and the rational allocation of resources is taken, and post disaster reconstruction etc.. A working area, equipment area, headquarters, regional, place the correct division and set are constructed. The energy of nodes emergency dispatch network fuzzy stack control design cycle,the rescue force allocation is obtained, and the stability of emergency dispatch system is enhanced. The simulation results show that, the model can effectively improve the throughput performance of the response time of emergency rescue, and emergency rescue is improved, the performance of resource scheduling is improved.
In the earthquake disaster emergency rescue force and resource emergency intelligent scheduling, it needs to construct a scheduling network, optimization design of coupling situation of emergency dispatch network is necessary, it is essential to improve the vitality and efficiency of scheduling network. A emergency Scheduling optimization model of cycle coupling situation is proposed based on fuzzy cloud stack, the basic point of intersection construction principles and controllable evacuation evacuation based on network, the construction of a network model is obtained, network configuration covers emergency evacuation planning and policy formulation, and disaster relief material release and the rational allocation of resources is taken, and post disaster reconstruction etc.. A working area, equipment area, headquarters, regional, place the correct division and set are constructed. The energy of nodes emergency dispatch network fuzzy stack control design cycle,the rescue force allocation is obtained, and the stability of emergency dispatch system is enhanced. The simulation results show that, the model can effectively improve the throughput performance of the response time of emergency rescue, and emergency rescue is improved, the performance of resource scheduling is improved.
引文
[1]乔俊飞.动态路径规划中的改进蚁群算法[J].清华大学学报,2010,48(S2):1748-1751.
[2]林伟伟,齐德昱.云计算资源调度研究综述[J].计算机科学,2012,39(10):1-5.
[3]SONG R,HE S,ZHANG L.Optimum transit operations during the emergency evacuations[J].Journal of Transportation Systems Engineering and Information Technology,2009,9(6):154–160.
[4]HE S,et al.Optimal transit routing problem for emergency evacuations[C]//TRB Annual Meeting.Washington,DC,2009.
[5]CHIU Y C,MIRCHANDANI P B.Online behavior-robust feedback information routing strategy for mass evacuation[J].IEEE Transactions on Intelligent Transportation Systems,2008,9(2):264–274.
[2]林伟伟,齐德昱.云计算资源调度研究综述[J].计算机科学,2012,39(10):1-5.
[3]SONG R,HE S,ZHANG L.Optimum transit operations during the emergency evacuations[J].Journal of Transportation Systems Engineering and Information Technology,2009,9(6):154–160.
[4]HE S,et al.Optimal transit routing problem for emergency evacuations[C]//TRB Annual Meeting.Washington,DC,2009.
[5]CHIU Y C,MIRCHANDANI P B.Online behavior-robust feedback information routing strategy for mass evacuation[J].IEEE Transactions on Intelligent Transportation Systems,2008,9(2):264–274.
版权所有：© 2023 中国地质图书馆 中国地质调查局地学文献中心