2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery CDA: A Novel Clustering Delegate Algorithm Based on Minority Protection Tianjin, China August 14-August 16 ISBN: 978-0-7695-3735-1
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/FSKD.2009.384
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, β- cluster, and the farthest neighborhood 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.
Index Terms:
Clustering, Gene Expression Programming, Evolutionary Computation, data mining
Citation:
Jianping Xiang, Changjie Tang, Yu Chen, Lei Duan, Yue Wang, Ning Yang, "CDA: A Novel Clustering Delegate Algorithm Based on Minority Protection," fskd, vol. 1, pp.420-424, 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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