Accelerating neuro-evolution by compilation to native machine code
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- @InProceedings{Siebel:2010:ijcnn,
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author = "Nils T Siebel and Andreas Jordt and Gerald Sommer",
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title = "Accelerating neuro-evolution by compilation to native
machine code",
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booktitle = "International Joint Conference on Neural Networks
(IJCNN 2010)",
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year = "2010",
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address = "Barcelona, Spain",
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month = "18-23 " # jul,
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publisher = "IEEE Press",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-1-4244-6917-8",
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abstract = "Any neuro-evolutionary algorithm that solves complex
problems needs to deal with the issue of computational
complexity. We show how a neural network (feed-forward,
recurrent or RBF) can be transformed and then compiled
in order to achieve fast execution speeds without
requiring dedicated hardware like FPGAs. The compiled
network uses a simple external data structure #x2014;a
vector #x2014;for its parameters. This allows the
weights of the neural network to be optimised by the
evolutionary process without the need to re-compile the
structure. In an experimental comparison our method
effects a speedup of factor 5 #x2013;10 compared to the
standard method of evaluation (i.e., traversing a data
structure with optimised C++ code)",
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DOI = "doi:10.1109/IJCNN.2010.5596296",
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notes = "WCCI 2010. Also known as \cite{5596296}",
- }
Genetic Programming entries for
Nils T Siebel
Andreas Jordt
Gerald Sommer
Citations