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- W2279399162 abstract "In order to adopt PEAs for evolving neural networks and to implement or simulate them efficiently, we introduce a distributed framework, called NMfENN in this paper. The NMfENN framework is embedded with a general PGA, which guide the evolution of the whole neural network population. But the PGA is not an explicit entity; it carries out by the Niche-MAS, which consists of a number of NAs (Niche Agents) and a CA (Commonweal Agent). By the implementation of NEAT, SANE, and MOBNET, NMfENN is demonstrated to be easily and conveniently employed to realize users’ parallel evolutionary algorithms or strategies for evolving neural networks." @default.
- W2279399162 created "2016-06-24" @default.
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- W2279399162 date "2013-01-01" @default.
- W2279399162 modified "2023-09-27" @default.
- W2279399162 title "A Niche-MAS Framework for Evolving Artificial Neural Networks" @default.
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- W2279399162 doi "https://doi.org/10.1007/978-3-642-31698-2_152" @default.
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