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Studies on Source Rebuild Method with a Genetic Algorithm

  • Conference paper
Artificial Intelligence and Computational Intelligence (AICI 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7002))

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Abstract

In order to deal with unknown releasing affair and carry on emergency action more effectively, a source rebuild model with a genetic algorithm (GA) [1] based on environmental and meteorological information was built. Insufficient spatial and temporal resolution and inherent uncertainty in meteorological data make the prediction of subsequent transport and dispersion extremely difficult. The genetic algorithm was chosen as optimization algorithm to deal with the similar things happen to source rebuild. The method and some main parameters in model were presented in paper. Thereafter, the source rebuild model was applied to estimating the location and strength of two unknown gas release sources from simultaneous measurements of gas concentration and wind data. The result shows: 1. The source rebuild model with a genetic algorithm based on environmental monitor datum is reasonable and feasible. 2. The source rebuild model is effective in 101km scale at least. At last, we discuss the necessity to use all meaningful monitor data to modify the method of source rebuild.

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References

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Author information

Authors and Affiliations

  1. College of Environment Science and Engineering, Taiyuan University of Technology, Taiyuan, China

    Xiangjun Xu

  2. China Institute for Radiation Protection, Taiyuan, China

    Xiangjun Xu & Rentai Yao

Authors
  1. Xiangjun Xu
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  2. Rentai Yao
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Editor information

Editors and Affiliations

  1. School of Business Information Technology, RMIT University, City Campus, 124 La Trobe Street, 3000, Melbourne, VIC, Australia

    Hepu Deng

  2. School of Electronics and Information, Tongji University, 201804, Shanghai, China

    Duoqian Miao

  3. School of Computer and Information Engineering, Shanghai University of Electric Power, 200090, Shanghai, China

    Jingsheng Lei

  4. Department of Business Administration, Caritas Institute of Higher Education, 18 Chui Ling Road, Tseung Kwan O, Hong Kong, China

    Fu Lee Wang

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© 2011 Springer-Verlag Berlin Heidelberg

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Xu, X., Yao, R. (2011). Studies on Source Rebuild Method with a Genetic Algorithm. In: Deng, H., Miao, D., Lei, J., Wang, F.L. (eds) Artificial Intelligence and Computational Intelligence. AICI 2011. Lecture Notes in Computer Science(), vol 7002. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23881-9_83

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  • DOI: https://doi.org/10.1007/978-3-642-23881-9_83

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23880-2

  • Online ISBN: 978-3-642-23881-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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