Illinois Genetic Algorithms Laboratory » Genetic algorithms

Bury the cold war curriculum

David E. Goldberg — Thu, 01 May 2008 01:04:30 +0000

NOW!! Over at The Entrepreneurial Engineer here.

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SIGEVOlution Volume 2 Issue 3 is out!

Pier Luca Lanzi — Wed, 09 Apr 2008 12:01:57 +0000

The new issue of SIGEVOlution is now available for you to download from:

http://www.sigevolution.org

The issue features:

GA @ The World Solar Challenge by Vincent de Geus & the Nuon Solar Team
Buildable Evolution by Pablo José Funes
What Is a Classifier System? Stewart W. Wilson
Dissertation Corner
New Issues of Journals
Calls and Calendar

The newsletter is intended to be viewed electronically.

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Linkage in Evolutionary Computation @ CEC2009

Pier Luca Lanzi — Tue, 08 Apr 2008 12:00:32 +0000

There will be a special session on linkage learning in evolutionary computation during CEC2009, more information is available here.

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Movie contracts simplified using GAs

David E. Goldberg — Sun, 06 Apr 2008 14:51:17 +0000

Researchers at Syracuse University have used genetic algorithms and game theory to show that simpler movie contracts are superior to more complex arrangements. See the article at Newsblaze here.

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Antarctic researcher claims billion variable precedence

David E. Goldberg — Tue, 01 Apr 2008 12:10:53 +0000

The Genetic Argonaut has a piece on an Antarctic researcher who claims precedence on solving billion variable problems over IlliGAL. Professor Pangloss Van Thunder-ten-Tronckh claims precedent on many other innovations in genetic algorithms and evolutionary computation as well. Read the full story here.

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Free Book: A Field Guide to Genetic Programming

Pier Luca Lanzi — Mon, 31 Mar 2008 08:52:56 +0000

The pdf of the book “A FIELD GUIDE TO GENETIC PROGRAMMING” by Riccardo Poli, William B. Langdon, Nicholas F. McPhee (with contributions from John R. Koza) is freely available at www.gp-field-guide.org.uk

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WPE-2008 website update

David E. Goldberg — Sun, 02 Mar 2008 23:28:02 +0000

The Workshop on Philosophy & Engineering has updated its website for 2008 here.

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A course for GA fans

David E. Goldberg — Sun, 02 Mar 2008 23:12:05 +0000

All you genetic algorithmists who need a little touch up on your biological background, have I got the course for you, and it’s on sale right now. Stephen Nowicki’s, Biology: The Science of Life consists of 72, 30-minute lectures from the Teaching Company. I’m on lecture 21 or so, and it is fantastic. Nowicki artfully weaves in history, discovery, and mechanism in a tour de force of clarity. The graphics help illustrate key concepts and Nowicki’s lively lecture style keep things moving along and interesting.

I watch the lectures in the morning while I exercise, so they fit quite nicely into my day, but even if you have to make special time, this class is worth it. Go check it out here.

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ACM TechNews Links an Article about GAs

Pier Luca Lanzi — Fri, 22 Feb 2008 15:24:31 +0000

In the last ACM TechNews I found a link to an article about GAs, titled “Virtual Evolution Breeds Answers”, I was glad to see such a topic in an ACM bulletin, until I read the article. Some of the comments seem to come out from the 1980’s, as for instance “[GAs] are quite slow, and they require quite a bit of fiddling” or “finding the precise settings that will give a good solution can take months”. Maybe it is time for an update about GAs! The billion bit paper is a very good start.

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Better-than-human AI by 2029

David E. Goldberg — Sun, 17 Feb 2008 20:23:32 +0000

Yeah right.

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