A behavior-based analysis of modal problems
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Trujillo:2013:GECCOcomp,
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author = "Leonardo Trujillo and Lee Spector and
Enrique Naredo and Yuliana Martinez",
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title = "A behavior-based analysis of modal problems",
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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 = "1047--1054",
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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:10.1145/2464576.2482682",
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publisher = "ACM",
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publisher_address = "New York, NY, USA",
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abstract = "Genetic programming (GP) has proved to be a powerful
tool for (semi)automated problem solving in various
domains. However, while the algorithmic aspects of GP
have been a primary object of study, there is a need to
enhance the understanding of the problems where GP is
applied. One particular goal is to categorise problems
in a meaningful way, in order to select the best tools
that can possibly be used to solve them. This paper
studies modal problems, a conceptual class of problems
recently proposed by Spector at GECCO 2012. Modal
problems are those for which a solution program
requires different modes of operation for different
contexts. The thesis of this paper is that modality, in
this sense, is better understood by analysing program
performance in behavioural space. The behaviour-based
perspective is seen as part of a scale of different
forms of analysing performance; with a coarse view
given by a global fitness value and a highly detailed
view provided by the semantics approach. On the other
hand, behavioral analysis is seen as a flexible
approach where the context of a program's performance
is considered at in a domain-specific manner. The
experimental evidence presented here suggests that
behaviour-based search could allow a GP to find
programs with disjoint behavioural structures, that can
satisfy the requirements of each mode of operation of a
modal problem.",
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notes = "Also known as \cite{2482682} Distributed at
GECCO-2013.",
- }
Genetic Programming entries for
Leonardo Trujillo
Lee Spector
Enrique Naredo
Yuliana Martinez
Citations