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An evolutionary approach to adaptive model-building

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Progress in Evolutionary Computation (EvoWorkshops 1993, EvoWorkshops 1994)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 956))

Abstract

Learning an input-output mapping from a set of examples can be regarded as a problem of model-building. From this point of view, by a hierarchical representation scheme for models, an evolutionary computational approach to model-building problems is proposed in this paper, which is based on the ideas from the evolution programs and the genetic programmings. The computer experiments indicate that it is surprisingly effective in searching the optimal model for model-building problems.

This work was supported in part by National Natural Science Foundation of China and National 863 High Technology Project of China.

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Author information

Authors and Affiliations

  1. Institute of Software Engineering, Wuhan University, 430072, Wuhan, P.R.China

    Zhengjun Pan, Lishan Kang, Jun He & Yong Liu

Authors
  1. Zhengjun Pan
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  2. Lishan Kang
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  3. Jun He
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  4. Yong Liu
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Editor information

Xin Yao

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© 1995 Springer-Verlag Berlin Heidelberg

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Pan, Z., Kang, L., He, J., Liu, Y. (1995). An evolutionary approach to adaptive model-building. In: Yao, X. (eds) Progress in Evolutionary Computation. EvoWorkshops EvoWorkshops 1993 1994. Lecture Notes in Computer Science, vol 956. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60154-6_58

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  • DOI: https://doi.org/10.1007/3-540-60154-6_58

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60154-8

  • Online ISBN: 978-3-540-49528-4

  • eBook Packages: Springer Book Archive

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