Bibliography on Genetic Programming A nearly complete bibliography of papers published on genetic programming. Part of the Computer Science Bibliography Collection.
Digital Genetic Research Group A research group at the University of Idaho that explores and attempts to understand properties and limitations of the evolutionary process.
EuroGP 2002 5th European Conference on Genetic Programming, 3-5 April 2002: Kinsale, Ireland.
EVALife's BBase A literature search engine on Evolutionary Computation and related topics including more than 20000 references.
Genetic Programming in C/C++ Explains the paradigm of genetic programming, and its implementation in the C/C++ programming language.
Genetic Programming Inc. A privately funded research group that does research in applying genetic programming.
Genetic Programming, Inc. Clusters used for genetics research. Pictures, news articles, and design and configuration details for very large clusters.
Genetic-Programming.org A definitive source of information about the field of genetic programming with links and conferences.
GP-96 Genetic Programming 1996 Conference, July 28-31: Stanford University.
Groovy Java Genetic Programming Genetic Programming (JGProg) is an open-source pure Java implementation of a strongly-typed Genetic Programming experimentation platform.
Interactive Truck Demo Demonstrates the use of genetic algorithms in solving the trailer truck backing up problem.
Symbolic Regression Applet Contains 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.
Teamwork in Genetic Programming Thesis and software demonstrating teamwork in genetic programming. Simulates evolving software emulating ants and collective behavior.
The Genetic Programming Notebook A comprehensive directory and tutorial for genetic programming. Includes conferences, researchers, journals, software, and papers.
Toolkit for Visual Genetic Programming 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."
