关键词: 交换式工业以太网 遗传算法 拓扑设计

Abstract:

This paper proposes an approach which uses improved genetic algorithms to optimize and design industrial control networks. With the redundant topology structure and the communication characteristics of switched industrial Ethernet, the problem of network partitioning ~s analyzed to be equivalent to a multi-objective optimization problem： topology optimization should reduce the inter-network communications, and simultaneously allow the network traffi ic to be evenly distributed over all sub-networks. Moreover, the switch＇s capability must be respected, which sets constraints for the optimization prooblem. In the improved genetic algorithms, the coding strategy, the probability of crossover and the probability of mutation are improved, which conquer s the shortcomings of premature convergence in simple genetic algorithms. The simulation result shows that the algorithm is effective

Key words: switched industrial Ethernet;genetic algorithms;topological design