Genetically Improved Software
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InCollection{langdon:2015:hbgpa,
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author = "William B. Langdon",
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title = "Genetically Improved Software",
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booktitle = "Handbook of Genetic Programming Applications",
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publisher = "Springer",
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year = "2015",
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editor = "Amir H. Gandomi and Amir H. Alavi and Conor Ryan",
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chapter = "8",
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pages = "181--220",
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keywords = "genetic algorithms, genetic programming, mutation,
genetic improvement GI, search based software
engineering SBSE, software optimisation, gismoe, GPGPU,
nVidia, GPU, Tesla K20c, GeForce gzip, bioinformatics,
SAT, miniSAT, SPL, evolutionary programming, software
engineering, Image analysis and signal processing,
Artificial Intelligence, Automatic Programming",
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isbn13 = "978-3-319-20882-4",
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URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/langdon_2015_hbgpa.pdf",
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DOI = "doi:10.1007/978-3-319-20883-1_8",
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size = "40 pages",
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abstract = "Genetic programming (GP) can dramatically increase
computer programs' performance. It can automatically
port or refactor legacy code written by domain experts
and specialist software engineers. After reviewing SBSE
research on evolving software we describe an open
source parallel StereoCamera image processing
application in which GI optimisation gave a seven fold
speedup on nVidia Tesla GPU hardware not even imagined
when the original state-of-the-art CUDA GPGPU C++ code
was written.",
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notes = "http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=38824©ownerid=66551",
- }
Genetic Programming entries for
William B Langdon
Citations