Intrinsic Evolution of Large Digital Circuits Using a Modular Approach
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{Alagesan:2008:AHS,
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author = "Shri Vidhya Alagesan and Sruthi Kannan and
G. Shanthi and A. P. Shanthi and Ranjani Parthasarathi",
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title = "Intrinsic Evolution of Large Digital Circuits Using a
Modular Approach",
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booktitle = "NASA/ESA Conference on Adaptive Hardware and Systems,
AHS '08",
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year = "2008",
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month = jun,
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pages = "19--26",
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keywords = "genetic algorithms, genetic programming, Cartesian
genetic programming, Xilinx Virtex II Pro board,
evolvable hardware, large digital circuits, modular
approach, modular developmental Cartesian genetic
programming, scalability problem, software platform,
time consuming fitness evaluation, digital circuits",
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DOI = "doi:10.1109/AHS.2008.52",
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abstract = "This work pioneers a generic and flexible approach to
intrinsically evolve large digital circuits. One of the
popular ways of handling the scalability problem
prevalent in evolvable hardware (EHW) and evolve large
circuits is to partition the circuit, evolve the
individual partitions and then compact them. However,
as the partition sizes become larger, this method also
fails. This drawback is overcome by the modular
developmental Cartesian genetic programming (MDCGP)
technique, which still uses partitioning, but augments
it further with horizontal and vertical reuse. The
results obtained are promising and show that there is
100percent evolvability for 128-bit partitions, the
largest partitions evolved so far. The fitness
evaluation for the evolved partitions is done by
downloading them onto Xilinx Virtex II Pro board. This
work is the first step towards the development of a
flexible evolvable framework which harnesses the power
of hardware for the time consuming fitness evaluation
and at the same time provides flexibility by carrying
out the other parts using the easily modifiable
software platform.",
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notes = "Also known as \cite{4584250}",
- }
Genetic Programming entries for
Shri Vidhya Alagesan
Sruthi Kannan
G Shanthi
A P Shanthi
Ranjani Parthasarathi
Citations