GP vs GI: if you can't beat them, join them
Created by W.Langdon from
gp-bibliography.bib Revision:1.8028
- @InProceedings{Woodward:2016:GI,
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author = "John Woodward and Colin Johnson and
Alexander Brownlee",
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title = "GP vs GI: if you can't beat them, join them",
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booktitle = "Genetic Improvement 2016 Workshop",
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year = "2016",
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editor = "Justyna Petke and David R. White and Westley Weimer",
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pages = "1155--1156",
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address = "Denver",
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publisher_address = "New York, NY, USA",
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month = jul # " 20-24",
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organisation = "SIGEvo",
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publisher = "ACM",
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keywords = "genetic algorithms, genetic programming, Genetic
Improvement, SBSE",
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URL = "http://geneticimprovementofsoftware.com/wp-content/uploads/2016/06/GP_vs_GI_if_you_can%E2%80%99t_beat_them_join_them.pdf",
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DOI = "doi:10.1145/2908961.2931694",
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size = "2 pages",
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abstract = "Genetic Programming (GP) has been criticized for
targeting irrelevant problems [12], and is also true of
the wider machine learning community [11]. which has
become detached from the source of the data it is using
to drive the field forward. However, recently GI
provides a fresh perspective on automated programming.
In contrast to GP, GI begins with existing software,
and therefore immediately has the aim of tackling real
software. As evolution is the main approach to GI to
manipulating programs, this connection with real
software should persuade the GP community to confront
the issues around what it originally set out to tackle
i.e. evolving real software.",
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notes = "GECCO-2016 Workshop
http://geneticimprovementofsoftware.com/",
- }
Genetic Programming entries for
John R Woodward
Colin G Johnson
Alexander E I Brownlee
Citations