GI4GI: Improving Genetic Improvement Fitness Functions
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Harman:2015:gi,
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author = "Mark Harman and Justyna Petke",
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title = "{GI4GI}: Improving Genetic Improvement Fitness
Functions",
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booktitle = "Genetic Improvement 2015 Workshop",
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year = "2015",
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editor = "William B. Langdon and Justyna Petke and
David R. White",
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pages = "793--794",
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address = "Madrid",
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publisher_address = "New York, NY, USA",
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month = "11-15 " # jul,
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organisation = "SIGEvo",
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publisher = "ACM",
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keywords = "genetic algorithms, genetic programming, Genetic
Improvement",
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isbn13 = "978-1-4503-3488-4",
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URL = "http://gpbib.cs.ucl.ac.uk/gi2015/giforgi.pdf",
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URL = "http://doi.acm.org/10.1145/2739482.2768415",
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DOI = "doi:10.1145/2739482.2768415",
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size = "2 pages",
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abstract = "Genetic improvement (GI) has been successfully used to
optimise non-functional properties of software, such as
execution time, by automatically manipulating program's
source code. Measurement of non-functional properties,
however, is a non-trivial task; energy consumption, for
instance, is highly dependant on the hardware used.
Therefore, we propose the GI4GI framework (and two
illustrative applications). GI4GI first applies GI to
improve the fitness function for the particular
environment within which software is subsequently
optimised using traditional GI.",
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notes = "Slides:
http://gpbib.cs.ucl.ac.uk/gi2015/gi_2015_slides/petke/gi4gi.pdf
position paper",
- }
Genetic Programming entries for
Mark Harman
Justyna Petke
Citations