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Archaeology International
Architecture_MPS
Europe and the World: A law review
Film Education Journal
History Education Research Journal
International Journal of Development Education and Global Learning
International Journal of Social Pedagogy
Jewish Historical Studies: A Journal of English-Speaking Jewry
Journal of Bentham Studies
London Review of Education
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Research for All
The Journal of the Sylvia Townsend Warner Society
The London Journal of Canadian Studies
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About UCL Press
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Genetic Programming
Using Genetic Improvement and Code Transplants to Specialise a C++ Program to a Problem Class
other
Author(s):
Justyna Petke
,
Mark Harman
,
William B. Langdon
,
Westley Weimer
Publication date
(Print):
2014
Publisher:
Springer Berlin Heidelberg
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Genomic Prediction: Genetic Gain
Most cited references
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The AETG system: an approach to testing based on combinatorial design
S.R. Dalal
,
M.L. Fredman
,
G.C. Patton
…
(1997)
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A survey of combinatorial testing
Changhai Nie
,
Hareton Leung
(2011)
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A systematic study of automated program repair: Fixing 55 out of 105 bugs for $8 each
Westley Weimer
,
Michael Dewey-Vogt
,
Claire Le Goues
…
(2012)
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Author and book information
Book Chapter
Publication date (Print):
2014
Pages
: 137-149
DOI:
10.1007/978-3-662-44303-3_12
SO-VID:
54fa5ba2-0192-4196-aec7-f12121571387
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Book chapters
pp. 222
Cartesian Genetic Programming: Why No Bloat?
pp. 137
Using Genetic Improvement and Code Transplants to Specialise a C++ Program to a Problem Class
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