An Improved Gene Expression Programming for Solving Inverse Problem
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- @InProceedings{Zhang:2006:WCICA,
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author = "Kejun Zhang and Yuxia Hu and Gang Liu",
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title = "An Improved Gene Expression Programming for Solving
Inverse Problem",
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booktitle = "The Sixth World Congress on Intelligent Control and
Automation, WCICA 2006",
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year = "2006",
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volume = "1",
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pages = "3371--3375",
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month = "21-23 " # jun,
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publisher = "IEEE",
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keywords = "genetic algorithms, genetic programming, Gene
expression programming",
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ISBN = "1-4244-0332-4",
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DOI = "doi:10.1109/WCICA.2006.1712993",
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abstract = "The basic principle of Gene expression programming
(GEP) is introduced in this paper. An improved GEP
algorithm called IGEP based on dynamic mutation
operator which dealing with the inverse problem of
parameter identification of complex function is
presented, the algorithm complexity of the IGEP was
given in the paper, furthermore, many simulation
results show that the models set up by the paper are
better than the models set up by classic GEP. A future
study will consider the effects of applying IGEP to the
inverse problem which sensitive to the time period.",
- }
Genetic Programming entries for
Ke Jun Zhang
Yuxia Hu
Gang Liu
Citations