基于多目标遗传算法的工业以太网拓扑设计

Lei Zhang, M. Lampe, Zhi Wang
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引用次数: 8

摘要

本文从行业的角度探讨了网络拓扑设计问题。工业通信网络的拓扑设计是一个多目标优化问题,考虑到工业应用的具体要求,如多样化的实时性要求、快速的恢复时间、高可靠性和低成本。与以往的出版物不同,本文讨论了分布式多环网络结构的问题。提出了一种加权蒲公英编码来表示多环拓扑结构,并将其结合到多目标遗传算法中寻找接近最优解。不同应用实例的实验结果表明了该算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Topology design of industrial ethernet networks using a multi-objective genetic algorithm
This paper addresses the problem of network topology design from an industry perspective. The topology design of industrial communication networks is formulated as a multi-objective optimization problem, considering the specific requirements of industrial applications, e.g. the diversified real-time requirements, fast recovery time, high reliability, and low cost. Different from previous publications, the problem is discussed with respect to distributed multi-ring network structures. A weighted Dandelion encoding is proposed to represent multi-ring topologies and incorporated into a multi-objective genetic algorithm to find close-to-optimal solutions. Experimental results for different application examples show the effectiveness of the proposed algorithm.
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