Evolutionary Routing Strategies for Automotive Networks

The design of efficient communication networks is a challenging task for modern vehicle development. Due to novel technologies and new degrees of freedom in network design, the decision on a bus topology has a severe impact on the overall system cost and performance. In this article, the authors hav...

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Bibliographic Details
Published inProceedings of the International Conference on Genetic and Evolutionary Methods (GEM) p. 1
Main Authors Dohr, Martin, Eichberger, Bernd
Format Conference Proceeding
LanguageEnglish
Published Athens The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp) 01.01.2013
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Summary:The design of efficient communication networks is a challenging task for modern vehicle development. Due to novel technologies and new degrees of freedom in network design, the decision on a bus topology has a severe impact on the overall system cost and performance. In this article, the authors have proposed a topology and routing optimization using Evolutionary Algorithms and problem-specific encoding. Their contribution includes a guided topology mutation operator which outperforms standard random mutation. Further, they have proposed two routing operators for usage during the optimization process, and compare their effectiveness on a network application taken from a series vehicle.