NDLI: Concurrent topology and routing optimization in automotive network integration

Content Provider	ACM Digital Library
Author	Lukasiewycz, Martin Teich, Jürgen Regler, Richard Lang, Bardo Haubelt, Christian Glaß, Michael
Abstract	In this paper, a novel automatic approach for the concurrent topology and routing optimization that achieves a high quality network layout is proposed. This optimization is based on a specialized binary Integer Linear Program (ILP) in combination with a Multi-Objective Evolutionary Algorithm (MOEA). The ILP is formulated such that each solution represents a topology and routing that fulfills all requirements and demands of the network. Thus, in an iterative process, this ILP is solved to obtain feasible networks whereas the MOEA is used for the optimization of multiple even non-linear objectives and ensures a fast convergence towards the optimal solutions. Additionally, a domain specific preprocessing algorithm for the ILP is presented that decreases the problem complexity and, thus, allows to optimize large and complex networks efficiently. The experimental results validate the performance of this methodology on two state-of-the-art prototype automotive networks.
Starting Page	626
Ending Page	629
Page Count	4
File Format	PDF
ISBN	9781605581156
ISSN	0738100X
DOI	10.1145/1391469.1391629
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2008-06-08
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Network integration Automotive Optimization
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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Concurrent topology and routing optimization in automotive network integration