Many research institutes have online repositories of information which my be retrieved using FTP or HTTP (World Wide Web).
NOTE: See also Q14 above.
ENCORE (The EvolutioNary COmputation REpository network) is a collection of FTP servers/World Wide Web sites providing a wealth of information in the area of EC, from technical reports, copies of journal articles, down to source code for various EAs. ENCORE acts as a distributor of much material generated at research institutes (and other places) which don't necessarily have their own FTP servers.
Each node of Encore is referred to as an "EClair". There are numerous nodes around the world, all carrying copies of the same information. The sites may be accessed using FTP or WWW browsers. Sites offering HTTP access are the best to use if using a WWW browser. They include:
Other sites offer FTP access (slow if using WWW). If using FTP, omit the initial "ftp://" and the final "Welcome.html" in the file specification in order to access the top-level directory. The FTP sites include:
Well worth getting is "The Navigator's Guide to ENCORE", a handbook to this service, in file:
Encore is administered by Jörg Heitkötter <firstname.lastname@example.org>.
The Santa Fe Institute Studies in the Sciences of Complexity (SFI) issues a recommended series: SFI Studies in the Science of Complexity, published by Addison Wesley and maintains a well-sorted FTP server with EC related material.
The Bioinformatics facility at Australian National University has set up an anonymous FTP server, that contains EC related material, maintained by David G. Green.
Research into Parallel GENETIC ALGORITHMs: papers (technical reports, conference and journal articles, theses, monographies, etc...) written by members of the SYMPA team are available by FTP from
Their adress is: SYMPA/LGI - Institut IMAG, BP 53 38041 Grenoble Cedex, FRANCE <email@example.com>
A number of papers and preprints are available in compressed Postscript form by FTP from the Univ. of Alabama (Tuscaloosa) from ftp://aramis.cs.ua.edu/pub/tech-reports/ The naming convention for files is: (author's last name).(journal name).ps . Maintained by Dr. Ron Sun <firstname.lastname@example.org>
Holds more than a gigabyte of software, publications, and other materials of interest to AI researchers, educators, students, and practitioners. The AI Programming Languages and the AI Software Packages sections of the repository can be accessed in the lang/ and areas/ subdirectories. Other directories, which are in varying states of completion, are events/ and pubs/ (Publications, including technical reports, books, mail/news archives).
The AI Programming Languages section includes directories for Common Lisp, Prolog, Scheme, Smalltalk, and other AI-related programming languages. The AI Software Packages section includes subdirectories for: alife/ (ARTIFICIAL LIFE), anneal/ (Simulated Annealing), genetic/ (GENETIC ALGORITHMs etc., including benchmarks and test problems) and many more.
The AI Repository is accessible by FTP at: ftp://ftp.cs.cmu.edu/user/ai/ (Be sure to read the files 0.doc and readme.txt in this directory) and by WWW at: http://www.cs.cmu.edu/Groups/AI/html/repository.html It is also available on CD-ROM (See Q10.10).
GARAGe has a number of interesting projects, both in terms of GA and GP fundamental research and in GA/GP applications including: parallelization of GAs/GPs; multiple POPULATION topologies and interchange methodologies; scheduling applications, including sponsored research on job-floor scheduling; design applications, including sponsored research on composite material design; configuration applications, particularly physics applications of optimal molecule configurations for particular systems like C60 (buckyballs) and others.
Information on GARAGe research projects is available by WWW at the URL: http://GARAGe.cps.msu.edu
The Evolutionary and Adaptive Systems Group in COGS does a significant amount of research in the area of GAs and Neural Networks and modeling the process of biological development. For purposes of artificial EVOLUTION, many at COGS see this as the major issue to be tackled. For general info about the group, consult the WWW server at: http://www.cogs.susx.ac.uk/lab/adapt/index.html
The Navy Center for Applied Research in ARTIFICIAL INTELLIGENCE (NCARAI) is conducting basic research in the analysis of GAs and other EVOLUTIONARY ALGORITHMs. GAs are being applied to the learning of strategies and behaviors for autonomous vehicles, and for adaptively testing complex systems such as vehicle controllers. You will find description of projects, researchers, and downloadable papers at URL http://www.aic.nrl.navy.mil/ in addition to other information. The GA-digest and the GENETIC ALGORITHMs Archive are maintained at NCARAI. See Q15.1, "Genetic Algorithms Digest", for more information.
A WWW home page is available for the CWRU Autonomous Agents Research Group at: http://yuggoth.ces.cwru.edu/
The group, led by Randall Beer, conducts interdisciplinary research in the departments of Computer Engineering and Science, Biology, Mechanical Engineering, and Systems Engineering. This research includes work in EVOLUTIONARY ALGORITHMs, mobile robotics, and computational biology. The aim is to study the mechanisms that can produce adaptive behavior in animals and ROBOTs.
Currently available are Postscript versions of a number of our research papers (in particular, those related to mobile robotics, evolving recurrent neural networks, and computational models of development), an HTML version of a paper on computational development which appeared in ALIFE IV, and images of the robots used in our research.
Comments to <email@example.com>
Members of the research group are working on a variety of projects including GA theory, coevolutionary algorithms, decentralized GAs, representation issues, evolutionary microeconomics, the application of GAs to molecular biology, and GA-based machine learning. There is an online publications list that contains links to PostScript copies of many of their published papers. A WWW home page is available at: http://www.cs.gmu.edu/research/gag/
Includes a whole load of information on the topics of complexity, artificial-life, GAs, NNs, cellular automata, nonlinear science, fractals, self-organisation, evolution, and more. Visit: http://www.calresco.force9.co.uk
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Hitch Hiker's Guide to Evolutionary Computation, Issue 9.1, released 12 April 2001
Copyright © 1993-2001 by J. Heitkötter and D. Beasley, all rights reserved.