A definitive source of information about the field of genetic programming with links and conferences.

A nearly complete bibliography of papers published on genetic programming. Part of the Computer Science Bibliography Collection.

FAQs, people, software, links, conferences, publications, interactive genetic art and music.

Thesis and software demonstrating teamwork in genetic programming. Simulates evolving software emulating ants and collective behavior.

A privately funded research group that does research in applying genetic programming.

Inventor of genetic programming and author of numerous published papers on genetic programming at Stanford University.

Genetic Programming 1996 Conference, July 28-31: Stanford University.

Promotes the creation and exchange of knowledge on Genetic and Evolutionary Computation and their application.

Explains the paradigm of genetic programming, and its implementation in the C/C++ programming language.

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."

Demonstrates the use of genetic algorithms in solving the trailer truck backing up problem.

Java applet based on an algorithm of John R. Koza.

Applies the concepts of evolution to both software and the software process.

A programming library designed to aid development of applications that use genetic algorithms.

Contains information about Kanpur Genetic Algorithms Laboratory and papers published by researchers here.

A large single file containing an genetic programming bibliography. Lacks a search function.

5th European Conference on Genetic Programming, 3-5 April 2002: Kinsale, Ireland.

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.

Genetic Programming (JGProg) is an open-source pure Java implementation of a strongly-typed Genetic Programming experimentation platform.

Information on how to implement a genetic programming system using genetic programming itself.

A web community and forum for genetic programming and other types of evolutionary computation.

An easy to learn evolutionary computing framework written for Java 5. Genetic programming is implemented through fast stack-based linear programs.

Applies unique expertise in evolutionary computation and evolved neural networks to real-world problems.

A scalable, distributed Java genetic programming environment. It comes with a specialization for evolving assembler-syntax algorithms that could run on sensor nodes.

The George Mason University Evolutionary Computation Laboratory, headed by Profs. Kenneth De Jong and Sean Luke.

Manufacturing scheduling and closed loop applications utilizing genetic programming algorithms.

A genetic programming toolbox written in Java that aims for simplicity and speed.

Offers links and an introduction to Genetic Programming.