A New Genetic Programming Algorithm for Building Decision Tree
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- @Article{Yi20113658,
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author = "Li Yi and Kang Wanli",
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title = "A New Genetic Programming Algorithm for Building
Decision Tree",
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journal = "Procedia Engineering",
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volume = "15",
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pages = "3658--3662",
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year = "2011",
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note = "CEIS 2011",
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keywords = "genetic algorithms, genetic programming, Decision
tree, Grouping, Representation",
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ISSN = "1877-7058",
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URL = "http://www.sciencedirect.com/science/article/pii/S1877705811021862",
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DOI = "doi:10.1016/j.proeng.2011.08.685",
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size = "5 pages",
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abstract = "Genetic programming (GP) is a flexible and powerful
evolutionary technique with some special features that
are suitable for building a classifier of tree
representation. However, unsuitable step size of
editing operator will destroy the continuity of the
evolution. In this paper, we propose a multiage genetic
programming (MGP) algorithm to build a classifier on a
given training set. Individuals are grouped into
different groups according to their ages (tree size).
The competitions between individuals are limited in the
same groups. That prevents the structure editing
operators from destroying the continuity of the
evolution. The experimental results showed that the MGP
algorithm is superior to the traditional genetic
programming algorithm (GP) in building decision tree.",
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notes = "ShiJiaZhuang Vocational Technology Institute,
ShiJiaZhuang, 050000, China",
- }
Genetic Programming entries for
Li Yi
Kang Wanli
Citations