CDA: A Novel Clustering Delegate Algorithm Based on Minority Protection

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@InProceedings{Xiang:2009:FSKD,
  author =       "Jianping Xiang and Changjie Tang and Yu Chen and 
                 Lei Duan and Yue Wang and Ning Yang",
  title =        "CDA: A Novel Clustering Delegate Algorithm Based on
                 Minority Protection",
  booktitle =    "Sixth International Conference on Fuzzy Systems and
                 Knowledge Discovery, FSKD '09",
  year =         "2009",
  month =        aug,
  volume =       "1",
  pages =        "420--424",
  abstract =     "In traditional Gene Expression Programming (GEP),
                 individuals' survival too much depends on fitness while
                 their relationships are ignored. Borrowing the idea
                 from the minority protection in real life, this study
                 introduces a novel Cluster Delegate algorithm (CDA) and
                 makes the following contributions: (1) propose several
                 new concepts including individual similarity, cluster,
                 and the farthest neighbourhood clustering, (2)
                 implement CDA algorithm which clustering population by
                 fitness and selects delegate from each cluster, (3)
                 conduct extensive experiments to show that newly
                 proposed method can accurately discover functions in
                 complex problems.",
  keywords =     "genetic algorithms, genetic programming, gene
                 expression programming, clustering delegate algorithm,
                 farthest neighborhood clustering concept, individual
                 similarity concept, minority protection, -cluster
                 concept, pattern clustering",
  DOI =          "doi:10.1109/FSKD.2009.384",
  notes =        "Dept. of Comput. Sci., Zunyi Normal Coll., Zunyi,
                 China Also known as \cite{5358555}",
}

Genetic Programming entries for Jianping Xiang Changjie Tang Yu Chen Lei Duan Yue Wang Ning Yang

Citations