Distance Guided Classification with Gene Expression Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{conf/adma/DuanTZWZ06,
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title = "Distance Guided Classification with Gene Expression
Programming",
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author = "Lei Duan and Changjie Tang and Tianqing Zhang and
Dagang Wei and Huan Zhang",
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booktitle = "Advanced Data Mining and Applications, Proceedings of
the Second International Conference, {ADMA}",
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publisher = "Springer",
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year = "2006",
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volume = "4093",
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editor = "Xue Li and Osmar R. Za{\"i}ane and Zhanhuai Li",
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pages = "239--246",
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series = "Lecture Notes in Computer Science",
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address = "Xi'an, China",
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month = aug # " 14-16",
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bibdate = "2006-08-21",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/conf/adma/adma2006.html#DuanTZWZ06",
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keywords = "genetic algorithms, genetic programming, Gene
Expression Programming",
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ISBN = "3-540-37025-0",
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DOI = "doi:10.1007/11811305_26",
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abstract = "Gene Expression Programming (GEP) aims at discovering
essential rules hidden in observed data and expressing
them mathematically. GEP has been proved to be a
powerful tool for constructing efficient classifiers.
Traditional GEP-classifiers ignore the distribution of
samples, and hence decrease the efficiency and
accuracy. The contributions of this paper include: (1)
proposing two strategies of generating classification
threshold dynamically, (2) designing a new approach
called Distance Guided Evolution Algorithm (DGEA) to
improve the efficiency of GEP, and (3) demonstrating
the effectiveness of generating classification
threshold dynamically and DGEA by extensive
experiments. The results show that the new methods
decrease the number of evolutional generations by
83percent to 90percent, and increase the accuracy by
20percent compared with the traditional approach.",
- }
Genetic Programming entries for
Lei Duan
Changjie Tang
Tianqing Zhang
Dagang Wei
Huan Zhang
Citations