Applied Genetic Programming and Machine Learning
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @Book{Iba:2009:AGPML,
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author = "Hitoshi Iba and Yoshihiko Hasegawa and
Topon Kumar Paul",
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title = "Applied Genetic Programming and Machine Learning",
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publisher = "CRC",
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year = "2009",
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series = "CRC Complex and Enterprise Systems Engineering",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "1-4398-0369-2",
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URL = "http://www.crcpress.com/product/isbn/9781439803691",
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abstract = "Reflecting rapidly developing concepts and newly
emerging paradigms in intelligent machines, this text
is the first to integrate genetic programming and
machine learning techniques to solve diverse real-world
tasks.These tasks include financial data prediction,
day-trading rule development; and bio-marker selection.
Written by a leading authority, this text will teach
readers how to use machine learning techniques, make
learning operators that efficiently sample a search
space, navigate the search process through the design
of objective fitness functions, and examine the search
performance of the evolutionary system. All source
codes and GUIs are available for download from the
author's website.",
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notes = "Book reviews in \cite{Veeramachaneni:2011:GPEM}
\cite{journals/mima/Osman12}.
Introduction. Evolutionary computation. Genetic
Programming. Hybrid Genetic Programming and GMDH
System. Principles of STROGANOFF. Classification by
Ensemble of Genetic Programming Rules. Probabilistic
Program Evolution with Estimation of Distribution.
Other Related Methods. Discussion. Conclusion. Appendix
A: STROGANOFF system overviews. Appendix B: MVGPC
system overviews.",
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size = "349 pages",
- }
Genetic Programming entries for
Hitoshi Iba
Yoshihiko Hasegawa
Topon Kumar Paul
Citations