A multiclass classifier using Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{DBLP:conf/icarcv/ChaudhariPT08,
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author = "Narendra S. Chaudhari and Anuradha Purohit and
Aruna Tiwari",
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title = "A multiclass classifier using Genetic Programming",
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booktitle = "10th International Conference on Control, Automation,
Robotics and Vision, ICARCV 2008",
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year = "2008",
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pages = "1884--1887",
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address = "Hanoi, Vietnam",
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month = "17-20 " # dec,
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publisher = "IEEE",
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keywords = "genetic algorithms, genetic programming",
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DOI = "doi:10.1109/ICARCV.2008.4795815",
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abstract = "his paper presents an approach for designing
classifiers for a multiclass problem using Genetic
Programming (GP). The proposed approach takes an
integrated view of all classes when GP evolves. An
individual of the population will be represented using
multiple trees. The GP is trained with a set of N
training samples in steps. A concept of unfitness of a
tree is used in order to improve genetic evolution.
Weak trees having poor performance are given more
chance to participate in the genetic operations, and
thus improve themselves. In this context, a new
mutation operation called nondestructive directed point
mutation is used, which reduces the destructive nature
of mutation operation. The approach is being
demonstrated by experimenting on some datasets.",
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bibsource = "DBLP, http://dblp.uni-trier.de",
- }
Genetic Programming entries for
Narendra S Chaudhari
Anuradha Purohit
Aruna Tiwari
Citations