Challenges of Program Synthesis with Grammatical Evolution
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @InProceedings{Sobania:2020:EuroGP,
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author = "Dominik Sobania and Franz Rothlauf",
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title = "Challenges of Program Synthesis with Grammatical
Evolution",
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booktitle = "EuroGP 2020: Proceedings of the 23rd European
Conference on Genetic Programming",
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year = "2020",
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month = "15-17 " # apr,
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editor = "Ting Hu and Nuno Lourenco and Eric Medvet",
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series = "LNCS",
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volume = "12101",
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publisher = "Springer Verlag",
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address = "Seville, Spain",
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pages = "211--227",
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organisation = "EvoStar, Species",
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keywords = "genetic algorithms, genetic programming, Grammatical
Evolution, SBSE, Program synthesis, Software
engineering, Needle-in-a-haystack",
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isbn13 = "978-3-030-44093-0",
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DOI = "doi:10.1007/978-3-030-44094-7_14",
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abstract = "Program synthesis is an emerging research topic in the
field of EC with the potential to improve real-world
software development. Grammar-guided approaches like GE
are suitable for program synthesis as they can express
common programming languages with their required
properties. This work uses common software metrics
(lines of code, McCabe metric, size and depth of the
abstract syntax tree) for an analysis of GE search
behavior and the resulting problem structure. We find
that GE is not able to solve program synthesis
problems, where correct solutions have higher values of
the McCabe metric (which means they require conditions
or loops). Since small mutations of high-quality
solutions strongly decrease a solution's fitness and
make a high percentage of the solutions non-executable,
the resulting problem constitutes a
needle-in-a-haystack problem. To us, one of the major
challenges of future GP research is to come up with
better and more adequate fitness functions and problem
specifications to turn the current needle-in-a-haystack
problems into problems that can be solved by guided
search.",
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notes = "http://www.evostar.org/2020/cfp_eurogp.php Part of
\cite{Hu:2020:GP} EuroGP'2020 held in conjunction with
EvoCOP2020, EvoMusArt2020 and EvoApplications2020",
- }
Genetic Programming entries for
Dominik Sobania
Franz Rothlauf
Citations