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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.

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.

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

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

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

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

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

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

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

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

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

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

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

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

Java API for implementing any kind of genetic algorithm and genetic programming applications quickly and easily.

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

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

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

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.

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

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.

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

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."

Manufacturing scheduling and closed loop applications utilizing genetic programming algorithms.

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