A Survey on Techniques of Improving Generalization Ability of Genetic Programming Solutions
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- @Misc{Dabhi:2012:arXiv,
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author = "Vipul K. Dabhi and Sanjay Chaudhary",
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title = "A Survey on Techniques of Improving Generalization
Ability of Genetic Programming Solutions",
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howpublished = "arXiv",
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year = "2012",
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month = "6 " # nov,
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keywords = "genetic algorithms, genetic programming",
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URL = "http://arxiv.org/abs/1211.1119",
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size = "7 pages",
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abstract = "In the field of empirical modelling using Genetic
Programming (GP), it is important to evolve solution
with good generalisation ability. Generalisation
ability of GP solutions get affected by two important
issues: bloat and over-fitting. We surveyed and
classified existing literature related to different
techniques used by GP research community to deal with
these issues. We also point out limitation of these
techniques, if any. Moreover, the classification of
different bloat control approaches and measures for
bloat and over-fitting are also discussed. We believe
that this work will be useful to GP practitioners in
following ways: (i) to better understand concepts of
generalisation in GP (ii) comparing existing bloat and
over-fitting control techniques and (iii) selecting
appropriate approach to improve generalisation ability
of GP evolved solutions.",
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notes = "Information Technology Department, Dharmsinh Desai
University, Nadiad, INDIA.
DA-IICT, Gandhinagar, Gujarat, INDIA",
- }
Genetic Programming entries for
Vipul K Dabhi
Sanjay Chaudhary
Citations