Subcategories 4
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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.
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.
FAQs, people, software, links, conferences, publications, interactive genetic art and music.
A large single file containing an genetic programming bibliography. Lacks a search function.
A privately funded research group that does research in applying genetic programming.
Offers links and an introduction to Genetic Programming.
Genetic Programming 1996 Conference, July 28-31: Stanford University.
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.
Inventor of genetic programming and author of numerous published papers on genetic programming at Stanford University.
Applies unique expertise in evolutionary computation and evolved neural networks to real-world problems.
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."
A definitive source of information about the field of genetic programming with links and conferences.
A large single file containing an genetic programming bibliography. Lacks a search function.
Offers links and an introduction to Genetic Programming.
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.
Demonstrates the use of genetic algorithms in solving the trailer truck backing up problem.
A programming library designed to aid development of applications that use genetic algorithms.
A nearly complete bibliography of papers published on genetic programming. Part of the Computer Science Bibliography Collection.
Genetic Programming (JGProg) is an open-source pure Java implementation of a strongly-typed Genetic Programming experimentation platform.
Applies the concepts of evolution to both software and the software process.
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."
FAQs, people, software, links, conferences, publications, interactive genetic art and music.
The George Mason University Evolutionary Computation Laboratory, headed by Profs. Kenneth De Jong and Sean Luke.
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.
A privately funded research group that does research in applying genetic programming.
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