An Improved Gene Expression Programming for Solving Inverse Problem

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Zhang:2006:WCICA,

• author = "Kejun Zhang and Yuxia Hu and Gang Liu",
• title = "An Improved Gene Expression Programming for Solving Inverse Problem",
• booktitle = "The Sixth World Congress on Intelligent Control and Automation, WCICA 2006",
• year = "2006",
• volume = "1",
• pages = "3371--3375",
• month = "21-23 " # jun,
• publisher = "IEEE",
• keywords = "genetic algorithms, genetic programming, Gene expression programming",
• ISBN = "1-4244-0332-4",
• DOI = "doi:10.1109/WCICA.2006.1712993",
• 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