Distributed Genetic Programming Framework
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Description: A scalable, distributed Java genetic programming environment. It comes with a specialization for evolving assembler-syntax algorithms that could run on sensor nodes.
Distributed Genetic Programming Framework Distributed Genetic Programming Framework 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.
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Page title: | Distributed Genetic Programming Framework |
Keywords: | Genetic Programming, Genetic Algorithms, Search-Algortihms, multi-dimensional search, multi-objective Genetic Algorithms, multi-objective Genetic Programming, multi-dimensional Genetic Algorithms, Evolution, Automaton, Turing-complete Automaton, Automata, Sensor Networks, Sensor Nodes, Open Source, Java, LGPL, Peer-To-Peer, P2P, distribution, island hopping |
Description: | 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. |
IP-address: | 216.34.181.96 |
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Date | Creation Date: 08-aug-1999 Expiration Date: 08-aug-2015 |