A combination of Genetic Programming and Cluster Analysis for Single Class

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

@InProceedings{To:2006:ASPGP,

• title = "A combination of Genetic Programming and Cluster Analysis for Single Class",
• author = "Cuong To and Jiri Vohradsky",
• booktitle = "Proceedings of the Third Asian-Pacific workshop on Genetic Programming",
• year = "2006",
• editor = "The Long Pham and Hai Khoi Le and Xuan Hoai Nguyen",
• pages = "13--23",
• ISSN = "18590209",
• address = "Military Technical Academy, Hanoi, VietNam",
• keywords = "genetic algorithms, genetic programming",
• URL = "http://gpbib.cs.ucl.ac.uk/aspgp06/To_Vohradsky_ASPGP06_finalcopy.pdf",
• size = "11 pages",
• abstract = "algorithm for single class based on genetic programming (GP) is introduced. Single class problem is converted into symbolic regression, and then genetic programming is used to search a polynomial function which approximates symbolic regression problem. Four real databases (one transcriptomics, one proteomics, and two breast cancers) were used to test the algorithm and a comparison with six well-known algorithms was done. The results prove that the algorithm is a rather good one.",
• notes = "broken march 2020 http://www.aspgp.org",

}

Genetic Programming entries for Cuong Chieu To Jiri Vohradsky

Citations