Article ID Journal Published Year Pages File Type
381680 Engineering Applications of Artificial Intelligence 2007 10 Pages PDF
Abstract

The network partition problem in switched industrial Ethernet is analyzed, which is shown to be equivalent to a multi-objective optimization problem: the network partition should reduce the inter-network communication, and simultaneously make the network traffic be evenly distributed over the respective sub-networks. Furthermore, the switch capability must be respected when assigning devices to sub-networks, which sets constraints for the optimization problem. This is a new problem that has not been modeled before. Then genetic algorithm is proposed to search near-optimal solution for this network partition problem. When designing the fitness function and genetic operators, the communication characteristics of industrial control network, such as the existence of controller and one-way communication of field devices, are considered. Finally, a simulation research is carried out to investigate the effectiveness of the proposed genetic algorithm.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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