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