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Computers > Artificial Intelligence > Genetic Programming > Research and News
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Genetic Programming Challenges Intelligent Design
An article in the Boston Globe suggests that the successes of genetic programming challenges one of the core ideas of intelligent design: namely that complexity can't arise from random selective...(more)
Submitted 2005-09-17 20:07:19 by psiolent
Rating: 0 (0 votes) | 1384 Views
Section: Research and News
Fighting Crime with Genetic Algorithms
An article at NewScientist.com discusses the application of genetic algorithms to improve a certain crime fighting tool: creating a suspect's likeness from the memory of a witness. Typically when a...(more)
Submitted 2005-09-29 08:37:52 by psiolent
Rating: 5 (2 votes) | 2196 Views
Section: Research and News
The Birth of Genetic Programming
For satisfying the historian of computer science in you, here is the first paper ever written on genetic programming. This paper was presented in July of 1985 at Carnegie-Mellon University in...(more)
Submitted 2005-10-07 17:23:19 by psiolent
Rating: 5 (1 votes) | 2779 Views
Section: Research and News
Meta Genetic Programming
A rather intriguing but mostly unexplored use of genetic programming is to evolve programs that themselves evolve programs. While this approach can be somewhat more complicated than single level...(more)
Submitted 2005-10-31 12:51:54 by psiolent
Rating: 0 (0 votes) | 2225 Views
Section: Research and News
DGPF
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...(more)
Submitted 2006-05-15 09:17:46 by DGPF
Rating: 5 (1 votes) | 2713 Views
Section: Research and News
nice demo
A very nice and simple genetic programming demo: here I think you need firefox to see...(more)
Submitted 2007-05-29 15:32:31 by drjon
Rating: 0 (0 votes) | 2636 Views
Section: Research and News
pySTEP or Python Strongly Typed gEnetic Programming
Hi! PYSTEP is a light Genetic Programming package in Python. The users can use it to easily evolve populations of trees with precise grammatical and structural constraints. In other worlds you can...(more)
Submitted 2009-09-19 03:02:45 by p33ble
Rating: 0 (0 votes) | 447 Views
Section: Research and News
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