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dgpf.sourceforge.net

the distributed genetic programming framework (dgpf) is a scalable java environment for heuristic, simulation-based search algorithms of any kind and genetic algorithms in special. we use the broad foundation of a search algorithms layer to provide a genetic programming system which is able to create turing-complete code. the main focus of our project is put on the automated creation of programs that should drive sensor networks. such programs are instantiated on many automata which are able to communicate with each other wirelessly in an unreliable manner. therefore, network simulators able to simulate whole networks of such automata are used. by doing so, we hope to be able to create emergent behaviors and self*-properties in large scale distributed systems.

geneticprogramming.com

About Genetic Programming Genetic Programming (GP) is a type of Evolutionary Algorithm (EA), a subset of machine learning. EAs are used to discover solutions to problems humans do not know how to solve, directly. Free of human preconceptions or biases, the adaptive nature of EAs can generate solutions that

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