Analog Genetic Encoding for the Evolution of Circuits and Networks
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- @Article{Mattiussi_2008_TEC,
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author = "Claudio Mattiussi and Dario Floreano",
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title = "Analog Genetic Encoding for the Evolution of Circuits
and Networks",
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journal = "IEEE Transactions on Evolutionary Computation",
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year = "2007",
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volume = "11",
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number = "5",
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pages = "596--607",
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month = oct,
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keywords = "genetic algorithms, genetic programming, Analog
circuit synthesis, analogue genetic encoding (AGE),
analog network synthesis, evolutionary computation,
genetic representation, neural network synthesis",
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ISSN = "1089-778X",
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DOI = "doi:10.1109/TEVC.2006.886801",
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size = "12 pages",
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abstract = "This paper describes a new kind of genetic
representation called analog genetic encoding (AGE).
The representation is aimed at the evolutionary
synthesis and reverse engineering of circuits and
networks such as analogue electronic circuits, neural
networks, and genetic regulatory networks. AGE permits
the simultaneous evolution of the topology and sizing
of the networks. The establishment of the links between
the devices that form the network is based on an
implicit definition of the interaction between
different parts of the genome. This reduces the amount
of information that must be carried by the genome,
relatively to a direct encoding of the links. The
application of AGE is illustrated with examples of
analog electronic circuit and neural network synthesis.
The performance of the representation and the quality
of the results obtained with AGE are compared with
those produced by genetic programming.",
- }
Genetic Programming entries for
Claudio Mattiussi
Dario Floreano
Citations