More on Computational Effort Statistics for Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{niehaus03,
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author = "Jens Niehaus and Wolfgang Banzhaf",
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title = "More on Computational Effort Statistics for Genetic
Programming",
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booktitle = "Genetic Programming, Proceedings of EuroGP'2003",
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year = "2003",
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editor = "Conor Ryan and Terence Soule and Maarten Keijzer and
Edward Tsang and Riccardo Poli and Ernesto Costa",
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volume = "2610",
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series = "LNCS",
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pages = "164--172",
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address = "Essex",
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publisher_address = "Berlin",
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month = "14-16 " # apr,
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organisation = "EvoNet",
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publisher = "Springer-Verlag",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "3-540-00971-X",
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DOI = "doi:10.1007/3-540-36599-0_15",
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abstract = "In this contribution we take a look at the
computational effort statistics as described by KOZA.
We transfer the notion from generational genetic
programming to tournament-selection (steady-state) GP
and show why, in both cases, the measured value of the
effort often differs from its theoretical counterpart.
It is discussed how systematic estimation errors are
introduced by a low number of experiments. Two reasons
examined are the number of unsuccessful experiments and
the variation in the number of fitness evaluations
necessary to find a solution among the successful
experiments.",
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notes = "EuroGP'2003 held in conjunction with EvoWorkshops
2003",
- }
Genetic Programming entries for
Jens Niehaus
Wolfgang Banzhaf
Citations