Toward a universal operator encoding for genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @InProceedings{DBLP:conf/gecco/BanksAMO09b,
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author = "Edwin Roger Banks and Paul Agarwal and
Marshall McBride and Claudette Owens",
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title = "Toward a universal operator encoding for genetic
programming",
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booktitle = "GECCO-2009 Late-Breaking Papers",
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year = "2009",
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editor = "Anna I. Esparcia and Ying-ping Chen and
Gabriela Ochoa and Ender Ozcan and Marc Schoenauer and Anne Auger and
Hans-Georg Beyer and Nikolaus Hansen and
Steffen Finck and Raymond Ros and Darrell Whitley and
Garnett Wilson and Simon Harding and W. B. Langdon and
Man Leung Wong and Laurence D. Merkle and Frank W. Moore and
Sevan G. Ficici and William Rand and Rick Riolo and
Nawwaf Kharma and William R. Buckley and Julian Miller and
Kenneth Stanley and Jaume Bacardit and Will Browne and
Jan Drugowitsch and Nicola Beume and Mike Preuss and
Stephen L. Smith and Stefano Cagnoni and Jim DeLeo and
Alexandru Floares and Aaron Baughman and
Steven Gustafson and Maarten Keijzer and Arthur Kordon and
Clare Bates Congdon and Laurence D. Merkle and
Frank W. Moore",
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pages = "1983--1986",
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address = "Montreal",
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publisher = "ACM",
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publisher_address = "New York, NY, USA",
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month = "8-12 " # jul,
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organisation = "SigEvo",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-1-60558-325-9",
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bibsource = "DBLP, http://dblp.uni-trier.de",
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DOI = "doi:10.1145/1570256.1570263",
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size = "4 pages",
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abstract = "The 2002 CEC paper entitled {"}Genetic Programming
with Smooth Operators for Arithmetic Expressions:
Diviplication and Subdition{"} by Ursem and Krink
\cite{ursem:2002:gpwsofaedas} proposed to blend certain
arithmetic operators by interpolation to smooth the
transition from one operator to another in the fitness
landscape. Inspired by their idea, herein it is shown
how to generalise further by using combinations of more
than two operators, requiring log(N) additional
parameters for each N operators so combined.
Comparative results are reported for the application of
this methodology to a variety of optimisation tasks
including symbolic regression, an aspherical lens
system design, a UAV path optimization, and a remote
sensor image noise filter design.",
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notes = "cites \cite{page:1999:smuxspmGP}. Parsimony via
fitness penalty,
non-spherical lens design. Worse except for image noise
filter where universal function set does best.
Distributed on CD-ROM at GECCO-2009.
ACM Order Number 910092.",
- }
Genetic Programming entries for
Edwin Roger Banks
Paul Agarwal
Marshall McBride
Claudette Owens
Citations