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Top Document: FAQ: comp.ai.genetic part 4/6 (A Guide to Frequently Asked Questions) Previous Document: Q10.7: Biological Background Readings? Next Document: Q10.9: Videos? See reader questions & answers on this topic! - Help others by sharing your knowledge
The Big One
Jarmo Alander has compiled probably the biggest EC bibliography
around. It has 2500 entries, and is available in postscript form by
ftp from: garbo.uwasa.fi/pc/research/2500GArefs.ps.gz and also from
ENCORE (see Q15.3) in file refs/2500GArefs.ps.gz Please send any
additions or corrections to <ja@cs.hut.fi>
The same directory on ENCORE also contains some other bibliography
collections.
Combinations of GAs and NNs
Dave Schaffer <ds1@philabs.Philips.Com> has compiled a bibliograpy on
combinations of GAs and neural networks. About 150 entries, available
in Bib format from ENCORE (See Q15.3) in file refs/cogann.bib.gz
Jochen Ruhland <jochenr@neuro.informatik.uni-kassel.de> has also
compiled a bibliography on this topic. Some papers deal only with
neural networks, some only with genetic algorithms. About 300
references altogether. Some include an abstract. Available from:
ftp.neuro.informatik.uni-kassel.de/pub/NeuralNets/ in
We_and_our_work/papers/diplom.1.bib.gz There are plans to expand this
bibliography from time to time; the sequels will have names
diplom.2.bib.gz, etc.
Bibliography at IlliGAL
A bibliography on Genetic Algorithms compiled by David E. Goldberg,
Kelsey Milman, and Christina Tidd is available as IlliGAL Report No
92008 (see Q14), via ftp from:
gal4.ge.uiuc.edu/pub/papers/IlliGALs/92008part1.ps.Z and
92008part2.ps.Z
GAPHD Bibliography Collection
Martyn Amos <Martyn.Amos@dcs.warwick.ac.uk> has assembled a
collection of bibliographies from various sources, tidied up the
entries and removed duplicates. The collections are as follows:
Alife.bib.gz - General Artificial Life
ICGA-93.bib.gz - Proc. International Conference on GAs (1993)
chaos.bib.gz - Chaos theory
ga+nn.bib.gz - GAs and neural networks
ga.bib.gz - General GA references
ga2.bib.gz - General GA references
parallelGA.bib.gz - Parallel GAs
theory.bib.gz - Theoretical computer science (bias towards graph
theory, stochasic modelling and pobability theory)
misc.bib.gz - Miscellaneous topics (eg. Internet)
There are about 6200 references in total, although the biggest file
by far is theory.bib, which is not directly related to EC. The
references are in BibTeX format. The files are available by FTP from
ftp.dcs.warwick.ac.uk/pub/gaphd/Bibliographies/ or by WWW from
http://www.dcs.warwick.ac.uk/~martyn/ga.html
Genetic Programming Bibliography
A collection of Genetic Programming references (and other tools) is
maintained by Bill Langdon <W.Langdon@cs.ucl.ac.uk> and is available
via anonymous ftp from cs.ucl.ac.uk/genetic/biblio/
Evolutionary Models in the Social Sciences
Edmund Chattoe <E.Chattoe@surrey.ac.uk> has set up a bibliography on
Evolutionary Models In Economics and the Social Sciences. The latest
copy of the EMSS bibliography and some accompanying notes can be
found at http://www.soc.surrey.ac.uk/~scs1ec/emssbib.html
GAs and Economics
Bernard Manderick <manderic@cs.few.eur.nl> has compiled a
bibliography on the use of GAs in economics, and this was published
in GA-Digest, v7n4 (with some followup comments in v7n5 & v7n7).
This can be retrieved by FTP from
ftp.aic.nrl.navy.mil/pub/galist/digests/v7n4 (see Q15.1).
GAs in Control
Carlos Fonseca <fonseca@acse.sheffield.ac.uk> has compiled a
bibliography of about 50 references on GAs in Control, and it was
published in GA-Digest, v7n18. This can be retrieved by FTP from
ftp.aic.nrl.navy.mil/pub/galist/digests/v7n18 (see Q15.1).
Learning Classifier Systems
The Learning Classifier Systems Bibliography is the largest LCS
bibliography there is. Currently about 600 entries.
http://www.cs.bham.ac.uk/~tyk/lcs/
Parallel GAs
A parallel GA bibliography is available via ftp from:
unix.hensa.ac.uk/pub/parallel/faqs/parallel-genetic-algorithms
Andreas Uhl <uhl@wst.wst.edvz.sbg.ac.at> has also compiled a parallel
GA bibliography with about 80 entries. It is available by WWW in:
http://www.mat.sbg.ac.at/~uhl/GA.html
Genetic Programming
John Koza <koza@CS.Stanford.EDU> has compiled an annotated
bibliography on GP, and about 60 references were published in GA-
Digest, v7n30. This can be retrieved by FTP from
ftp.aic.nrl.navy.mil/pub/galist/digests/v7n30 or from ENCORE (See
Q15.3) in file refs/gp-ref.gz
GAs and protein folding
Melanie Mitchell <mm@santafe.edu > has compiled a bibliography of
about 40 references on this topic, and it was published in GA-Digest,
v7n33. This can be retrieved by FTP from
ftp.aic.nrl.navy.mil/pub/galist/digests/v7n33 (see Q15.1).
GAs in Image Processing and Computer Vision
Kyeongmo Park <kpark@cs.gmu.edu> has compiled a bibliography of about
20 references on this topic, and it was published in GA-Digest,
v8n10. This can be retrieved by FTP from
ftp.aic.nrl.navy.mil/pub/galist/digests/v8n10 (see Q15.1).
GAs in telecommunications and data networks
Bhaskar Krishnamachari <bhaskar@ee.cornell.edu> has compiled the
following bibliographies:
The application of genetic algorithms to telecommunication systems: a
bibliography http://www.ee.cornell.edu/~bhaskar/gacomm-bib.html
The application of genetic algorithms to the design and optimization
of data networks: a bibliography
http://www.ee.cornell.edu/~bhaskar/ganet-bib.html
Masters and PhD theses
Richard K. Belew has collected information on approximately 2600
Masters and Ph.D. theses, nominally in the area of AI. The entire
list (about 170KB) is available for anonymous FTP at:
ftp.cs.ucsd.edu/pub/rik/aigen.rpt Questions, suggestions, additions
etc. to <rik@cs.ucsd.edu>.
User Contributions:Comment about this article, ask questions, or add new information about this topic:Top Document: FAQ: comp.ai.genetic part 4/6 (A Guide to Frequently Asked Questions) Previous Document: Q10.7: Biological Background Readings? Next Document: Q10.9: Videos? Part1 - Part2 - Part3 - Part4 - Part5 - Part6 - Single Page [ Usenet FAQs | Web FAQs | Documents | RFC Index ] Send corrections/additions to the FAQ Maintainer: David.Beasley@cs.cf.ac.uk (David Beasley)
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