Two Improvements in Genetic Programming for Image Classification
Created by W.Langdon from
gp-bibliography.bib Revision:1.8178
- @InProceedings{Li16:2008:cec,
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author = "Yamin Li and Jinru Ma and Qiuxia Zhao",
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title = "Two Improvements in Genetic Programming for Image
Classification",
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booktitle = "2008 IEEE World Congress on Computational
Intelligence",
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year = "2008",
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editor = "Jun Wang",
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pages = "2492--2497",
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address = "Hong Kong",
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month = "1-6 " # jun,
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organization = "IEEE Computational Intelligence Society",
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publisher = "IEEE Press",
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isbn13 = "978-1-4244-1823-7",
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file = "EC0573.pdf",
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DOI = "doi:10.1109/CEC.2008.4631132",
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abstract = "A new classification algorithm for multi-image
classification in genetic programming (GP) is
introduced, which is the centred dynamic class boundary
determination with quick-decreasing power value of
arithmetic progression. In the classifier learning
process using GP for multi-image classification,
different sets of power values are tested to achieve a
more suitable range of margin values for the
improvement of the accuracy of the classifiers. In the
second development, the program size is introduced into
the fitness function to control the size of program
growth during the evolutionary learning process. The
approach is examined on a Chinese character image data
set and a grass leaves data set, both of which have
four or more classes. The experimental results show
that while dealing with complicated problems of
multi-image classification, the new approach can be
used for more accurate classification and work better
than the previous algorithms of either static or
dynamic class boundary determination. With the fitness
function, the size of the programs in the population
can be controlled effectively and shortened
considerably during evolution. Thus, the readability of
the programs could be seemingly improved.",
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keywords = "genetic algorithms, genetic programming",
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notes = "WCCI 2008 - A joint meeting of the IEEE, the INNS, the
EPS and the IET.",
- }
Genetic Programming entries for
Ya-Min Li
Jinru Ma
Qiuxia Zhao
Citations