Estimation of Distribution Programming Based on Bayesian Network
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Yanai:2003:EodpboBn,
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author = "Kohsuke Yanai and Hitoshi Iba",
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title = "Estimation of Distribution Programming Based on
{Bayesian} Network",
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booktitle = "Proceedings of the 2003 Congress on Evolutionary
Computation CEC2003",
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editor = "Ruhul Sarker and Robert Reynolds and
Hussein Abbass and Kay Chen Tan and Bob McKay and Daryl Essam and
Tom Gedeon",
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pages = "1618--1625",
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year = "2003",
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publisher = "IEEE Press",
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address = "Canberra",
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publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
08855-1331, USA",
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month = "8-12 " # dec,
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organisation = "IEEE Neural Network Council (NNC), Engineers Australia
(IEAust), Evolutionary Programming Society (EPS),
Institution of Electrical Engineers (IEE)",
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keywords = "genetic algorithms, genetic programming, Bayesian
methods, Benchmark testing, Electronic design
automation and methodology, Informatics, Probability
distribution, Search methods, Search problems, Tree
data structures, Bayes methods, Boolean functions,
estimation theory, probability, search problems,
Bayesian network, Boolean function, estimation of
distribution programming, max problem, population-based
program search method, probability distribution,
program population",
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ISBN = "0-7803-7804-0",
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URL = "http://www.iba.k.u-tokyo.ac.jp/papers/2003/yanaiCEC2003.pdf",
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DOI = "doi:10.1109/CEC.2003.1299866",
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abstract = "In this paper, we propose Estimation of Distribution
Programming (EDP) based on a probability distribution
expression using a Bayesian network. EDP is a
population-based program search method, in which the
population probability distribution is estimated, and
individuals are generated based on the results. We
focus our attention on the fact that the dependency
relationship of nodes of the program (expressed as a
tree structure) is explicit, and estimate the
probability distribution of the program population
using a Bayesian network. We compare EDP with GP
(Genetic Programming) on several benchmark tests, i.e.,
a max problem and a boolean function problem. We also
discuss the trends of problems that are the forte of
EDP.",
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notes = "CEC 2003 - A joint meeting of the IEEE, the IEAust,
the EPS, and the IEE.",
- }
Genetic Programming entries for
Kohsuke Yanai
Hitoshi Iba
Citations