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The Application of Multi-agent Technology on the Level of Repair Analysis

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Advances in Swarm Intelligence (ICSI 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6145))

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Abstract

The basic theory of level of repair analysis (LORA) has been discussed. The route to apply multi-agent technology to accomplish the computer aided analysis for LORA has been investigated. A LORA system based on multi-agent system has been presented, the structure, the non-economic analysis agent has been researched. It can overcome the problem of information sharing and the cooperation between analysts effectively, and provide a new route to accomplish the computer aided analysis for LORA.

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Author information

Authors and Affiliations

  1. Department of Automobile, Academy of Military Transportation, Tianjin, China

    Xiangkai Liu, Yanfeng Tang, Bingfeng Zhu & Jia-ning Wang

  2. Simulation Center of Logistic, Academy of Logistic Commanding, Beijing, China

    Lin Zheng

Authors
  1. Xiangkai Liu
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  2. Yanfeng Tang
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  3. Lin Zheng
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  4. Bingfeng Zhu
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  5. Jia-ning Wang
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Editor information

Editors and Affiliations

  1. Key Laboratory of Machine Perception (MOE), Department of Machine Intelligence, Peking University, 100871, Beijing, China

    Ying Tan

  2. Research and Postgraduate Office, Xi’an Jiaotong-Liverpool University, 215123, Suzhoum, China

    Yuhui Shi

  3. Department of Electrical and Computer Engineering, National University of Singapore, Engineering Drive 3, 4 Engineering Drive 3, 117576, Singapore

    Kay Chen Tan

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© 2010 Springer-Verlag Berlin Heidelberg

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Liu, X., Tang, Y., Zheng, L., Zhu, B., Wang, Jn. (2010). The Application of Multi-agent Technology on the Level of Repair Analysis. In: Tan, Y., Shi, Y., Tan, K.C. (eds) Advances in Swarm Intelligence. ICSI 2010. Lecture Notes in Computer Science, vol 6145. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13495-1_86

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  • DOI: https://doi.org/10.1007/978-3-642-13495-1_86

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13494-4

  • Online ISBN: 978-3-642-13495-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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