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Sponsored Links:
Travelling Salesman Problem Using Genetic Algorithms (Popularity:  )
http://www.lalena.com/ai/tsp
Method of solving the traveling salesman problem using genetic algorithms.
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Genetic Ant Algorithm (Popularity: )
http://www.csam.montclair.edu/~bredlau/ants.html
Applet that implements the algorithm, based upon the model given in Koza, Genetic Programming, MIT Press.
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GA Playground (Popularity: )
http://www.aridolan.com/ga/gaa/gaa.html
General genetic algorithms toolkit implemented in Java, for experimenting with genetic algorithms and handling optimization problems.
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ECJ 11 (Popularity: )
http://www.cs.gmu.edu/~eclab/projects/ecj
Java-based evolutionary computation and genetic programming research system.
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Dynamical & Evolutionary Machine Organization (DEMO) - Brandeis University (Popularity: )
http://www.demo.cs.brandeis.edu
Studies recurrent neural networks, evolutionary computation, and dynamical systems as substrates.
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Evolutionary Computation Laboratory (EClab) - George Mason University (Popularity: )
http://www.cs.gmu.edu/~eclab
Using computational models of Darwin-like models of evolution to better understand existing evolutionary systems and to make computer systems themselves more robust, flexible, and adaptive.
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International Society for Genetic and Evolutionary Computation (Popularity: )
http://www.isgec.org
Promoting the uses of genetic and evolutionary computation methods; algorithms based on natural selection and genetics to solve problems across the spectrum of human endeavor.
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Monotonic Evolutionary Simulation Algorithm (MESA) (Popularity: )
http://www.iscid.org/mesa
Explores the effectiveness of genetic and evolutionary algorithms when presented with expected biological hurdles.
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Evolutionary Computation Repository (Popularity: )
http://www.fmi.uni-stuttgart.de/fk/evolalg
Contains information on evolutionary computation including: genetic algorithms, evolution strategies, evolutionary programming, genetic programming, and classifier systems.
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Learning Classifier Systems Group - University of the West of England, Bristol (Popularity: )
http://www.cems.uwe.ac.uk/lcsg
Studying machine learning techniques which use reinforcement learning, evolutionary computing, and heuristics to develop adaptive systems.
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Black Shoals Stock Market Planetarium (Popularity: )
http://www.blackshoals.net
Exhibition that simulates stock market activity as the night sky in a planetarium, with a complex ecology of artificial creatures whose lives are controlled by market dynamics.
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SSIE580B: Evolutionary Systems and Artificial Life (Popularity: )
http://www.c3.lanl.gov/~rocha/ss504_02.html
Lecture notes exploring the logical mechanisms of life, self-organization, evolutionary systems, and related AI topics.
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Genetic Programming at UCL (Popularity: )
http://www.cs.ucl.ac.uk/research/genprog
Contains a genetic programming FAQ.
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List of References on Evolutionary Multiobjective Optimization (Popularity: )
http://www.lania.mx/~ccoello/EMOO/EMOObib.html
Lists downloadable papers, articles, and essays.
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Teacher: Genetics-Based Machine Learning (Popularity: )
http://www.manip.crhc.uiuc.edu/research.html
Generalization/Scheduling/Performance Evaluation for Genetics-Based Machine Learning
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genetic-programming.org (Popularity: )
http://www.genetic-programming.org
Carries general information on the fields of genetic programming and evolutionary computation.
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Teamwork in Genetic Programming (Popularity: )
http://www.lalena.com/ai/ant
Project to evolve programs emulating the food collection behavior of ants.
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Genetic Programming Notebook (Popularity: )
http://www.geneticprogramming.com
Information directory for genetic programming, artificial intelligence, genetic algorithms, evolutionary computation, and robotics.
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Illinois Genetic Algorithms Laboratory (Popularity: )
http://www.illigal.uiuc.edu/web/
Illinois Genetic Algorithms Laboratory - Life, Liberty, and the Pursuit of Genetic Algorithms. Constantly changing information, publications, advances in genetic algorithms/genetic and evolutionary computation.
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Evolutionary Computation Laboratory (Popularity: )
http://cs.gmu.edu/~eclab/
Using computational models of Darwin-like models of evolution to better understand existing evolutionary systems and to make computer systems themselves more robust, flexible, and adaptive.
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