A hybrid genetic algorithm to optimize device allocation in industrial Ethernet networks with real-time constraints

Lei ZHANG; Mattias LAMPE; Zhi WANG

doi:10.1631/jzus.C1100045

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A hybrid genetic algorithm to optimize device allocation in industrial Ethernet networks with real-time constraints

计算机工程 | Updated：2022-08-31

- A hybrid genetic algorithm to optimize device allocation in industrial Ethernet networks with real-time constraints
- A hybrid genetic algorithm to optimize device allocation in industrial Ethernet networks with real-time constraints
- 信息与电子工程前沿（英文） 2011年12卷第12期页码：965-975
- Affiliations：
  
  1.State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China
  2.Corporate Technology, Siemens Ltd., Beijing 100102, China
- Author bio：
  
  E-mail:zhangleijz@gmail.com
  mattias.lampe@siemens.com
  ‡Corresponding Author
- Funds：
- DOI：10.1631/jzus.C1100045
  中图分类号：
- 收稿：2011-02-28，
  
  修回：2011-11-04，
  
  录用：2011-08-01，
  
  纸质出版：2011-12
- Accepted：
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A hybrid genetic algorithm to optimize device allocation in industrial Ethernet networks with real-time constraints[J]. 信息与电子工程前沿（英文）, 2011,12(12):965-975.

Lei ZHANG, Mattias LAMPE, Zhi WANG. A hybrid genetic algorithm to optimize device allocation in industrial Ethernet networks with real-time constraints[J]. Frontiers of Information Technology & Electronic Engineering, 2011, 12(12): 965-975.
A hybrid genetic algorithm to optimize device allocation in industrial Ethernet networks with real-time constraints[J]. 信息与电子工程前沿（英文）, 2011,12(12):965-975. DOI： 10.1631/jzus.C1100045.

Lei ZHANG, Mattias LAMPE, Zhi WANG. A hybrid genetic algorithm to optimize device allocation in industrial Ethernet networks with real-time constraints[J]. Frontiers of Information Technology & Electronic Engineering, 2011, 12(12): 965-975. DOI： 10.1631/jzus.C1100045.

摘要

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.

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相关机构

Institute of Information and Communication Engineering, Zhejiang University

Zhejiang Provincial Key Laboratory of Information Network Technology

Institute of Advanced Digital Technologies and Instrumentation, Zhejiang University

Hangzhou Applied Acoustics Research Institute

Shanghai Key Laboratory of Data Science, the School of Computer Science, Fudan University, Shanghai, 200433, China Zhuhai Fudan Innovation Institute, Hengqin New Area

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