Genetic Programming for Prediction and Control
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @Article{Kent:GPfPaC,
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author = "D. C. Dracopoulos and Simon Kent",
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title = "Genetic Programming for Prediction and Control",
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journal = "Neural Computing and Applications",
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year = "1997",
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volume = "6",
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number = "4",
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pages = "214--228",
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month = dec,
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keywords = "genetic algorithms, genetic programming, Evolutionary
computing, Evolutionary control, Parallel computing,
Prediction",
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ISSN = "0941-0643",
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URL = "http://citeseer.ist.psu.edu/cache/papers/cs/733/http:zSzzSzwww.brunel.ac.ukzSz~cspgsskzSzdocumentszSznca97zSzNCA97.pdf/genetic-programming-for-prediction.pdf",
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URL = "http://citeseer.ist.psu.edu/188085.html",
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DOI = "doi:10.1007/BF01501508",
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size = "15 pages",
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abstract = "The relatively new field of genetic programming has
received a lot of attention during the last few years.
This is because of its potential for generating
functions which are able to solve specific problems.
This paper begins with an extensive overview of the
field, highlighting its power and limitations and
providing practical tips and techniques for the
successful application of genetic programming in
general domains. Following this, emphasis is placed on
the application of genetic programming to prediction
and control. These two domains are of extreme
importance in many disciplines. Results are presented
for an oral cancer prediction task and a satellite
attitude control problem. Finally, the paper discusses
how the convergence of genetic programming can be
significantly speeded up through bulk synchronous model
parallelisation.",
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notes = "Demes ring v. star, oral cancer, statellite control,
Santa Fe Ant",
- }
Genetic Programming entries for
Dimitris C Dracopoulos
Simon Kent
Citations