Manufacturing scheduling and closed loop applications utilizing genetic programming algorithms.

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.

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

A (distributed) framework for breeding programs for distributed systems like sensor nodes. Using this open source (LGPL) Java framework, you can easily evolve assembler-style programs.

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

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

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

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

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