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