From Problem Landscapes to Language Landscapes: Questions in Genetic Improvement
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @InProceedings{Cody-Kenny:2017:GI,
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author = "Brendan Cody-Kenny and Michael Fenton and
Michael O'Neill",
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title = "From Problem Landscapes to Language Landscapes:
Questions in Genetic Improvement",
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booktitle = "GI-2017",
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year = "2017",
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editor = "Justyna Petke and David R. White and W. B. Langdon and
Westley Weimer",
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pages = "1509--1510",
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address = "Berlin",
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month = "15-19 " # jul,
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publisher = "ACM",
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keywords = "genetic algorithms, genetic programming, genetic
improvement, Software Engineering, Search, Learning",
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isbn13 = "978-1-4503-4939-0",
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URL = "http://geneticimprovementofsoftware.com/wp-content/uploads/2017/05/codykenny2017_landscape_questions.pdf",
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DOI = "doi:10.1145/3067695.3082522",
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size = "2 pages",
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abstract = "Managing and curating software is a time consuming
process particularly as programming languages,
libraries, and execution environments change. To
support the engineering of software, we propose
applying a GP-based continuous learning system to all
useful software. We take the position that search-based
itemization and analysis of all commonly used software
is feasible, in large part, because the requirements
that people place on software can be used to bound the
search space to software which is of high practical
use. By repeatedly reusing the information generated
during the search process we hope to attain a
higher-level, but also more rigorous, understanding of
our engineering material: source code.",
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notes = "'learning system which uses search techniques to
explore and curate a continuously expanding library of
useful programs' Always-on GP 'How many tests are
required?' http://crest.cs.ucl.ac.uk/cow/50/
",
- }
Genetic Programming entries for
Brendan Cody-Kenny
Michael Fenton
Michael O'Neill
Citations