Genetic algorithm-based dynamic reconfiguration for networked control system

Genetic algorithm-based dynamic reconfiguration for networked control system
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基于遗传算法的网络控制系统动态重构

DOI:
10.1007/s00521-007-0096-8
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发表时间:
2008-02
影响因子:
6
通讯作者:
Zhou Chunjie
Zhou Chunjie
中科院分区:
计算机科学3区
文献类型:
--
作者:
Chen Hui;Fang Huajing;Xiang Chunjie;Zhou Chunjie

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以最小化网络时延为目标,提出了一种基于遗传算法的网络控制系统动态重构方法。随着网络控制系统的发展,要求其具有最小的时延和能够快速、灵活、灵活地适应变化的动态重构能力变得越来越重要。因此,找到一种更快更快地减少路由器更新时间和尽可能减少重新配置时间的路由算法是非常重要的。本文在网络控制系统的基础上,讨论了遗传算法的编码、初始化、选择、交叉和变异等过程。使用专门的修复功能来提高性能。实验结果表明,遗传算法能有效地改善网络控制系统的性能。
This paper represents a genetic algorithm (GA) based dynamic reconfiguration for networked control systems (NCS) with the objective of minimizing network time-delay. With the development of NCS, it is become more and more important for them to have the minimum time-delay and the ability of dynamic reconfiguration, which can accommodate the changes rapidly, smartly and flexibly. And it is important to find a routing algorithm, which is quicker to reduce the time to update the router and decrease the reconfiguration time as much as possible. In this paper, based on NCS, we discuss the process of GA with specialized encoding, initialization, selection, crossover and mutation. A specialized repair function is used to improve performance. In addition, experiment results are given to illuminate that GA can improve the performance of the NCS.
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