CDA: A Novel Clustering Delegate Algorithm Based on Minority Protection

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@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