Genetic programming for Expert Systems
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- @InProceedings{Sickel:2010:cec,
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author = "Konrad Sickel and Joachim Hornegger",
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title = "Genetic programming for Expert Systems",
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booktitle = "IEEE Congress on Evolutionary Computation (CEC 2010)",
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year = "2010",
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address = "Barcelona, Spain",
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month = "18-23 " # jul,
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publisher = "IEEE Press",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-1-4244-6910-9",
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abstract = "Genetic programming is the usage of the paradigm of
survival of the fittest in scientific computing. It is
applied to evolve solutions to problems where
dependencies between multiple input factors are
unknown. In this paper we propose and evaluate the
application of a specifically adapted genetic
programming framework to optimise the rule base of an
expert system. The expert system controls a
computer-aided-design software and targets the
automation of a manufacturing process. The used steady
state genetic programming framework introduces some
variations on the selection and evolution operators
normally used in genetic programming. In particular:
size enforcing mutation, dynamic fitness calculation
and size constraint ranking. The genetic programming
system is evaluated with real data and led to an
improved expert system performance of about 22
percent.",
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DOI = "doi:10.1109/CEC.2010.5586200",
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notes = "WCCI 2010. Also known as \cite{5586200}",
- }
Genetic Programming entries for
Konrad Sickel
Joachim Hornegger
Citations