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A nearly complete bibliography of papers published on genetic programming. Part of the Computer Science Bibliography Collection.
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A scalable, distributed Java genetic programming environment. It comes with a specialization for evolving assembler-syntax algorithms that could run on sensor nodes.
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The George Mason University Evolutionary Computation Laboratory, headed by Profs. Kenneth De Jong and Sean Luke.
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5th European Conference on Genetic Programming, 3-5 April 2002: Kinsale, Ireland.
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A programming library designed to aid development of applications that use genetic algorithms.
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Genetic Programming 1996 Conference, July 28-31: Stanford University.
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A genetic programming toolbox written in Java that aims for simplicity and speed.
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A web community and forum for genetic programming and other types of evolutionary computation.
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A large single file containing an genetic programming bibliography. Lacks a search function.
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Offers links and an introduction to Genetic Programming.
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FAQs, people, software, links, conferences, publications, interactive genetic art and music.
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Explains the paradigm of genetic programming, and its implementation in the C/C++ programming language.
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Clusters used for genetics research. Pictures, news articles, and design and configuration details for very large clusters.
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A definitive source of information about the field of genetic programming with links and conferences.
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Genetic Programming (JGProg) is an open-source pure Java implementation of a strongly-typed Genetic Programming experimentation platform.
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Demonstrates the use of genetic algorithms in solving the trailer truck backing up problem.
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Promotes the creation and exchange of knowledge on Genetic and Evolutionary Computation and their application.
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Inventor of genetic programming and author of numerous published papers on genetic programming at Stanford University.
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Contains information about Kanpur Genetic Algorithms Laboratory and papers published by researchers here.
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Information on how to implement a genetic programming system using genetic programming itself.
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An easy to learn evolutionary computing framework written for Java 5. Genetic programming is implemented through fast stack-based linear programs.
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Applies unique expertise in evolutionary computation and evolved neural networks to real-world problems.
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Java applet based on an algorithm of John R. Koza.
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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.
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Thesis and software demonstrating teamwork in genetic programming. Simulates evolving software emulating ants and collective behavior.
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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."
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Manufacturing scheduling and closed loop applications utilizing genetic programming algorithms.
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Applies the concepts of evolution to both software and the software process.
