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Front. Inform. Technol. Electron. Eng.  2011, Vol. 12 Issue (12): 965-975    DOI: 10.1631/jzus.C1100045
    
A hybrid genetic algorithm to optimize device allocation in industrial Ethernet networks with real-time constraints
Lei Zhang1, Mattias Lampe2, Zhi Wang*,1
1 State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China 2 Corporate Technology, Siemens Ltd., Beijing 100102, China
A hybrid genetic algorithm to optimize device allocation in industrial Ethernet networks with real-time constraints
Lei Zhang1, Mattias Lampe2, Zhi Wang*,1
1 State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China 2 Corporate Technology, Siemens Ltd., Beijing 100102, China
 全文: PDF(721 KB)  
摘要： With the advance of automation technology, the scale of industrial communication networks at field level is growing. Guaranteeing real-time performance of these networks is therefore becoming an increasingly difficult task. This paper addresses the optimization of device allocation in industrial Ethernet networks with real-time constraints (DAIEN-RC). Considering the inherent diversity of real-time requirements of typical industrial applications, a novel optimization criterion based on relative delay is proposed. A hybrid genetic algorithm incorporating a reduced variable neighborhood search (GA-rVNS) is developed for DAIEN-RC. Experimental results show that the proposed novel scheme achieves a superior performance compared to existing schemes, especially for large scale industrial networks.
关键词： Optimization;  Real-time;  Industrial Ethernet;  Device allocation;  Steady-state genetic algorithm;  Variable neighborhood search    
Abstract: With the advance of automation technology, the scale of industrial communication networks at field level is growing. Guaranteeing real-time performance of these networks is therefore becoming an increasingly difficult task. This paper addresses the optimization of device allocation in industrial Ethernet networks with real-time constraints (DAIEN-RC). Considering the inherent diversity of real-time requirements of typical industrial applications, a novel optimization criterion based on relative delay is proposed. A hybrid genetic algorithm incorporating a reduced variable neighborhood search (GA-rVNS) is developed for DAIEN-RC. Experimental results show that the proposed novel scheme achieves a superior performance compared to existing schemes, especially for large scale industrial networks.
Key words: Optimization    Real-time    Industrial Ethernet    Device allocation    Steady-state genetic algorithm    Variable neighborhood search
收稿日期: 2011-02-28 出版日期: 2011-11-30
CLC:  TP393.11  
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Lei Zhang, Mattias Lampe, Zhi Wang. A hybrid genetic algorithm to optimize device allocation in industrial Ethernet networks with real-time constraints. Front. Inform. Technol. Electron. Eng., 2011, 12(12): 965-975.

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http://www.zjujournals.com/xueshu/fitee/CN/10.1631/jzus.C1100045    或    http://www.zjujournals.com/xueshu/fitee/CN/Y2011/V12/I12/965

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