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Optimization and Search in Model-Based Automotive SW/HW Development
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, The Institute of Technology.
2014 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

In this thesis two case studies are performed about solving two design problems we face during the design phase of new Volvo truck. One is to solve the frame packing problem on CAN bus. The other is to solve the LDC allocation problem. Both solutions are targeted to meet as many end-to-end latency requirements as possible. Now the solution is obtained through manually approach and based on the designer experience. But it is still not satisfactory enough. With the development of artificial intelligence method we propose two methods based on genetic algorithm to solve our design problem we face today. In first case study about frame packing we perform one single genetic algorithm process to find the optimal solution. In second case study about LDC allocation we proposed how to handle two genetic algorithm processes together to reach the optimal solution. In this thesis we show the feasibility of adopting artificial intelligence concept in some activities of the truck design phases like we do in both case studies.  

Place, publisher, year, edition, pages
2014. , 40 p.
Keyword [en]
genetic algorithm, optimization, search heuristic
National Category
Computer Systems
URN: urn:nbn:se:liu:diva-105394ISRN: LIU-IDA/LITH-EX-A--14/018--SEOAI: diva2:706495
External cooperation
Volvo Technology
Subject / course
Master's programme in Computer Science
2014-03-07, Donald Knuth, Linköpings universitet, LINKÖPING, 10:15 (English)
Available from: 2014-03-21 Created: 2014-03-20 Last updated: 2014-03-21Bibliographically approved

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Lianjie, Shen
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