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Computers: Artificial_Intelligence: Genetic_Programming:




    See also:

        Genetic-Programming.org:  .
      - A definitive source of information about the field of genetic programming with links and conferences.

        Bibliography on Genetic Programming: - A nearly complete bibliography of papers published on genetic programming. Part of the Computer Science Bibliography Collection.
        Distributed Genetic Programming Framework: - A scalable, distributed Java genetic programming environment. It comes with a specialization for evolving assembler-syntax algorithms that could run on sensor nodes.
        ECLab at GMU: - The George Mason University Evolutionary Computation Laboratory, headed by Profs. Kenneth De Jong and Sean Luke.
        EuroGP 2002: - 5th European Conference on Genetic Programming, 3-5 April 2002: Kinsale, Ireland.
        eXtreme Genetic Programming: - Applies the concepts of evolution to both software and the software process.
        GAUL: Genetic Algorithm Utility Library: Home of GAUL: Genetic Algorithm Utility Library. genetic algorithm, GA, free, software, GAUL, unix, linux, C, open source
        Genetic Programming: - A web community and forum for genetic programming and other types of evolutionary computation.
        Genetic Programming at University College London: - FAQs, people, software, links, conferences, publications, interactive genetic art and music.



        Genetic Programming Bibliography: - A large single file containing an genetic programming bibliography. Lacks a search function.
        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 Tutorial: - Offers links and an introduction to Genetic Programming.
        GP-96: - Genetic Programming 1996 Conference, July 28-31: Stanford University.
        GPalta: - A genetic programming toolbox written in Java that aims for simplicity and speed.
        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.
        International Society for Genetic and Evolutionary Computation: - Promotes the creation and exchange of knowledge on Genetic and Evolutionary Computation and their application.


        John R. Koza: - Inventor of genetic programming and author of numerous published papers on genetic programming at Stanford University.
        Kanpur Genetic Algorithms Laboratory: - Contains information about Kanpur Genetic Algorithms Laboratory and papers published by researchers here.
        Meta-Genetic Programming: - Information on how to implement a genetic programming system using genetic programming itself.
        Natural Selection Inc.: - Applies unique expertise in evolutionary computation and evolved neural networks to real-world problems.
        N-genes EC framework: - An easy to learn evolutionary computing framework written for Java 5. Genetic programming is implemented through fast stack-based linear programs.
        Simple Symbolic Regression Using Genetic Programming: - Java applet based on an algorithm of John R. Koza.
        Symbolic Regression Applet: - 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.
        Teamwork in Genetic Programming: - Thesis and software demonstrating teamwork in genetic programming. Simulates evolving software emulating ants and collective behavior.
        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.


        Tuppas Genetic Programming: - Manufacturing scheduling and closed loop applications utilizing genetic programming algorithms.


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