A New GEP Algorithm Based on Multi-phenotype Chromosomes

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@InProceedings{Wu:2009:WCSE,
  author =       "Zenghong Wu and Min Yao",
  title =        "A New GEP Algorithm Based on Multi-phenotype
                 Chromosomes",
  booktitle =    "Second International Workshop on Computer Science and
                 Engineering, WCSE '09",
  year =         "2009",
  month =        oct,
  volume =       "1",
  pages =        "204--209",
  abstract =     "This paper presents an improved gene expression
                 programming (GEP) algorithm based on multi-phenotype
                 chromosomes (MPC-GEP). The populations in MPC-GEP are
                 composed of chromosomes with multiple phenotypes. Each
                 multi-gene chromosome corresponds to multiple
                 expression trees. The new algorithm can find the
                 optimal individual in less time than traditional GEP.
                 Finally, experiments on the new algorithm against
                 traditional GEP algorithm are conducted on several
                 benchmark datasets. Results show that MPC-GEP
                 outperforms traditional GEP in function finding in
                 terms of speed.",
  keywords =     "genetic algorithms, genetic programming, gene
                 expression programming, GEP algorithm, multigene
                 chromosome, multiphenotype chromosome, multiple
                 expression trees",
  DOI =          "doi:10.1109/WCSE.2009.654",
  notes =        "Also known as \cite{5403471}",
}

Genetic Programming entries for Zenghong Wu Min Yao

Citations