Automatic generation and exploitation of related problems in genetic programming
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gp-bibliography.bib Revision:1.8010
- @InProceedings{Krawiec:2010:cec,
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author = "Krzysztof Krawiec and Bartosz Wieloch",
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title = "Automatic generation and exploitation of related
problems in genetic programming",
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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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size = "8 pages",
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abstract = "We propose an evolutionary framework that uses the set
of instructions provided with a genetic programming
(GP) problem to automatically build a repertoire of
related problems and subsequently uses them to improve
the performance of search. The novel idea is to use the
synthesised related problems to simultaneously exert
multiple selection pressures on the evolving
population(s). For that framework, we design two
methods. In the first method, individuals optimising
for particular problems dwell in separate populations
and spawn clones which migrate to other populations,
similarly to the island model. The second method
operates on a single population and ranks the fitness
values that individuals receive from particular
problems to make them comparable. When applied to six
symbolic regression problems of different difficulty,
both methods perform better than the standard GP,
though sometimes fail to prove superior to certain
control setup.",
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DOI = "doi:10.1109/CEC.2010.5586120",
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notes = "ECJ. WCCI 2010. Also known as \cite{5586120}",
- }
Genetic Programming entries for
Krzysztof Krawiec
Bartosz Wieloch
Citations