Learning to sort by using evolution
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{Trajkovski:2011:IIT,
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author = "Igor Trajkovski and Zharko Aleksovski",
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title = "Learning to sort by using evolution",
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booktitle = "International Conference on Innovations in Information
Technology (IIT 2011)",
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year = "2011",
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month = "25-27 " # apr,
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pages = "250--254",
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address = "Abu Dhabi",
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size = "5 pages",
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abstract = "This paper present a work where Genetic Programming
(GP) was used to the task of evolving imperative sort
programs. A variety of interesting lessons were learnt.
With proper selection of the primitives, sorting
programs were evolved that are both general and
non-trivial. Unique aspect of our approach is that we
represent the individual programs with simple assembler
code, rather than usual tree like structure. We also
report the effect of different parameters on quality of
the programs and time needed for finding the
solution.",
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keywords = "genetic algorithms, genetic programming, assembler
code, imperative sort programs, tree like structure,
sorting",
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DOI = "doi:10.1109/INNOVATIONS.2011.5893827",
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notes = "Also known as \cite{5893827}",
- }
Genetic Programming entries for
Igor Trajkovski
Zharko Aleksovski
Citations