Data Mining of Genetic Programming Run Logs
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{eurogp07:ciesielski,
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author = "Vic Ciesielski and Xiang Li",
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title = "Data Mining of Genetic Programming Run Logs",
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editor = "Marc Ebner and Michael O'Neill and Anik\'o Ek\'art and
Leonardo Vanneschi and Anna Isabel Esparcia-Alc\'azar",
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booktitle = "Proceedings of the 10th European Conference on Genetic
Programming",
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publisher = "Springer",
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series = "Lecture Notes in Computer Science",
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volume = "4445",
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year = "2007",
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address = "Valencia, Spain",
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month = "11-13 " # apr,
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pages = "281--290",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "3-540-71602-5",
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isbn13 = "978-3-540-71602-0",
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DOI = "doi:10.1007/978-3-540-71605-1_26",
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abstract = "We have applied a range of data mining techniques to a
data base of log file records created from genetic
programming runs on twelve different problems. We have
looked for unexpected patterns, or golden nuggets in
the data. Six were found. The main discoveries were a
surprising amount of evaluation of duplicate programs
across the twelve problems and one case of pathological
behaviour which suggested a review of the genetic
programming configuration. For problems with expensive
fitness evaluation, the results suggest that there
would be considerable speedup by caching evolved
programs and fitness values. A data mining analysis
performed routinely in a GP application could identify
problems early and lead to more effective genetic
programming applications.",
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notes = "Part of \cite{ebner:2007:GP} EuroGP'2007 held in
conjunction with EvoCOP2007, EvoBIO2007 and
EvoWorkshops2007",
- }
Genetic Programming entries for
Victor Ciesielski
Xiang Li
Citations