API-Constrained Genetic Improvement
Created by W.Langdon from
gp-bibliography.bib Revision:1.7072
- @InProceedings{Langdon:2016:SSBSE,
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author = "William B. Langdon and David R. White and
Mark Harman and Yue Jia and Justyna Petke",
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title = "{API}-Constrained Genetic Improvement",
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booktitle = "Proceedings of the 8th International Symposium on
Search Based Software Engineering, SSBSE 2016",
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year = "2016",
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editor = "Federica Sarro and Kalyanmoy Deb",
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volume = "9962",
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series = "LNCS",
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pages = "224--230",
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address = "Raleigh, North Carolina, USA",
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month = "8-10 " # oct,
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming, genetic
improvement, SBSE, image segmentation, $50K OpenCV
Challenge, library C++ source code, bikes computer
vision benchmark dataset",
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isbn13 = "978-3-319-47106-8",
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URL = "
http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Langdon_2016_SSBSE.pdf",
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DOI = "
doi:10.1007/978-3-319-47106-8_16",
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size = "6 pages",
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abstract = "ACGI respects the Application Programming Interface
whilst using genetic programming to optimise the
implementation of the API. It reduces the scope for
improvement but it may smooth the path to GI acceptance
because the programmer's code remains unaffected; only
library code is modified. We applied ACGI to C++
software for the state-of-the-art OpenCV SEEDS
superPixels image segmentation algorithm, obtaining a
speed up of up to 13.2percent (sd 1.3percent) to the
50K Challenge winner announced at CVPR 2015.",
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notes = "Simple blue example of grammar based Genetic
Improvement
http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/gp-code/opencv_gp.tar.gz
SSBSE-2016 challenge track. Example images
http://www.cs.ucl.ac.uk/staff/W.Langdon/ssbse2016/acgi/
Mutations chosen equally between insert, delete,
replace and swap.
gismo",
- }
Genetic Programming entries for
William B Langdon
David Robert White
Mark Harman
Yue Jia
Justyna Petke
Citations