The George Mason University Evolutionary Computation Laboratory, headed by Profs. Kenneth De Jong and Sean Luke.
A scalable, distributed Java genetic programming environment. It comes with a specialization for evolving assembler-syntax algorithms that could run on sensor nodes.
A nearly complete bibliography of papers published on genetic programming. Part of the Computer Science Bibliography Collection.
A genetic programming toolbox written in Java that aims for simplicity and speed.
Genetic Programming 1996 Conference, July 28-31: Stanford University.
A programming library designed to aid development of applications that use genetic algorithms.
A privately funded research group that does research in applying genetic programming.
A large single file containing an genetic programming bibliography. Lacks a search function.
A web community and forum for genetic programming and other types of evolutionary computation.
Genetic Programming (JGProg) is an open-source pure Java implementation of a strongly-typed Genetic Programming experimentation platform.
FAQs, people, software, links, conferences, publications, interactive genetic art and music.
Offers links and an introduction to Genetic Programming.
Demonstrates the use of genetic algorithms in solving the trailer truck backing up problem.
Contains information about Kanpur Genetic Algorithms Laboratory and papers published by researchers here.
Inventor of genetic programming and author of numerous published papers on genetic programming at Stanford University.
Applies unique expertise in evolutionary computation and evolved neural networks to real-world problems.
Includes a Java Applet for symbolic regression using GP. It allows the import of data and the export of the resulting equations to spreadsheet applications like Excel.
Java applet based on an algorithm of John R. Koza.
A GP toolkit for exploring problems which don't have a natural fitness function and need human intuition to select the "best of the breed."
Thesis and software demonstrating teamwork in genetic programming. Simulates evolving software emulating ants and collective behavior.