CDA: A Novel Clustering Delegate Algorithm Based on Minority Protection
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gp-bibliography.bib Revision:1.7954
- @InProceedings{Xiang:2009:FSKD,
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author = "Jianping Xiang and Changjie Tang and Yu Chen and
Lei Duan and Yue Wang and Ning Yang",
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title = "CDA: A Novel Clustering Delegate Algorithm Based on
Minority Protection",
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booktitle = "Sixth International Conference on Fuzzy Systems and
Knowledge Discovery, FSKD '09",
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year = "2009",
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month = aug,
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volume = "1",
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pages = "420--424",
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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.",
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keywords = "genetic algorithms, genetic programming, gene
expression programming, clustering delegate algorithm,
farthest neighborhood clustering concept, individual
similarity concept, minority protection, -cluster
concept, pattern clustering",
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DOI = "doi:10.1109/FSKD.2009.384",
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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