Genetic Algorithms links 2

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August 21, 2003

More GA links. For archival purposes.

ai-junkie is a great website with a GA tutorial written “in plain English”.
Evolutionary Computation lecture notes by Thorsten Schnier.
More Evolutionary Computation lecture notes by Riccardo Poli, including a section on Classifier Systems.
Genetic and Evolutionary Algorithms: Principles, Methods and Algorithms is an introduction to Evolutionary and Genetic Algorithms.
A GA tutorial with example applets.
The MAGDON Documentation has a brief introduction to GA, including descriptions of the Pittsburg approach and the Michigan approach.
GA-Search - the Genetic Algorithms search engine, is a search engine dedicated to only GA-related sites.
The American Association for Artificial Intelligence “is a nonprofit scientific society devoted to advancing the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines.”
The Journal of Artificial Intelligence Research is an electronic journal on AI.
EvoWeb, the website of Evonet (European Network of Excellence in Evolutionary Computing), is a portal site for Evolutionary Computing.
The International Society of Artificial Life publishes the Artificial Life journal.

Posted by Chu Yeow at August 21, 2003 SGT |

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| Category: Genetic Algorithms

5 Comments & TrackBacks ()

The paper doll icon that precedes each comment is an idea conceived by Vanessa Tan.

You could add JGAP, the Java Genetic Algorithms Package, to your list. The homepage of JGAP can be found at http://jgap.sourceforge.net

Posted by: Klaus Meffert on January 30, 2005 7pm

Hello,

if you’re interested in Genetic Algorithms, Genetic Programming or multi-objective, randomized heuristic search algorithms, you would maybe like to have a look at the Distributed Genetic Programming Framework. This LGPL-licensed, open source Java project can be found in the internet at http://dgpf.sourceforge.net/.
It also allows you to distribute the searches over a network and let different search algorithms (GA, Hill Climbing, …) interact and form a heterogeneous search.

Posted by: DGPF on May 16, 2006 12am

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Posted by: teen gay boys free on June 18, 2006 3am

Hi!
I am currently writing a (free and open) e-book called “Global Optimization - Theory and Application”. It is about genetic algorithms, evolutionary algorithms, evolution strategy, leaning classifier systems, simulated annealing, and so on. I hope that I can make this topic more interesting for students and fellow researchers and help people to get started with it. Of course, the book is still very incomplete and probably has also errors, but I try to improve it very much. You can find it at http://www.it-weise.de/projects/book.pdf, I will update it regularly. Constructive criticism is always welcom, as well as new suggestions on what to include in the book.
Kind regards,
Thomas.

Posted by: Thomas on June 28, 2007 3pm