A heuristiclab evolutionary algorithm for FINCH
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @InProceedings{Elyasaf:2013:GECCOcompa,
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author = "Achiya Elyasaf and Michael Orlov and Moshe Sipper",
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title = "A heuristiclab evolutionary algorithm for {FINCH}",
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booktitle = "GECCO '13 Companion: Proceeding of the fifteenth
annual conference companion on Genetic and evolutionary
computation conference companion",
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year = "2013",
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editor = "Christian Blum and Enrique Alba and
Thomas Bartz-Beielstein and Daniele Loiacono and
Francisco Luna and Joern Mehnen and Gabriela Ochoa and
Mike Preuss and Emilia Tantar and Leonardo Vanneschi and
Kent McClymont and Ed Keedwell and Emma Hart and
Kevin Sim and Steven Gustafson and
Ekaterina Vladislavleva and Anne Auger and Bernd Bischl and Dimo Brockhoff and
Nikolaus Hansen and Olaf Mersmann and Petr Posik and
Heike Trautmann and Muhammad Iqbal and Kamran Shafi and
Ryan Urbanowicz and Stefan Wagner and
Michael Affenzeller and David Walker and Richard Everson and
Jonathan Fieldsend and Forrest Stonedahl and
William Rand and Stephen L. Smith and Stefano Cagnoni and
Robert M. Patton and Gisele L. Pappa and
John Woodward and Jerry Swan and Krzysztof Krawiec and
Alexandru-Adrian Tantar and Peter A. N. Bosman and
Miguel Vega-Rodriguez and Jose M. Chaves-Gonzalez and
David L. Gonzalez-Alvarez and
Sergio Santander-Jimenez and Lee Spector and Maarten Keijzer and
Kenneth Holladay and Tea Tusar and Boris Naujoks",
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isbn13 = "978-1-4503-1964-5",
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keywords = "genetic algorithms, genetic programming",
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pages = "1727--1728",
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month = "6-10 " # jul,
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organisation = "SIGEVO",
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address = "Amsterdam, The Netherlands",
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DOI = "doi:10.1145/2464576.2480786",
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publisher = "ACM",
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publisher_address = "New York, NY, USA",
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abstract = "We present a HeuristicLab plugin for FINCH. FINCH
(Fertile Darwinian Bytecode Harvester) is a system
designed to evolutionarily improve actual, extant
software, which was not intentionally written for the
purpose of serving as a GP representation in
particular, nor for evolution in general. This is in
contrast to existing work that uses restricted subsets
of the Java bytecode instruction set as a
representation language for individuals in genetic
programming. The ability to evolve Java programs will
hopefully lead to a valuable new tool in the software
engineer's toolkit.",
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notes = "Also known as \cite{2480786} Distributed at
GECCO-2013.",
- }
Genetic Programming entries for
Achiya Elyasaf
Michael Orlov
Moshe Sipper
Citations