Challenges of evolvable hardware: past, present and the path to a promising future
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @Article{Haddow:2011:GPEM2,
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author = "Pauline C. Haddow and Andy M. Tyrrell",
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title = "Challenges of evolvable hardware: past, present and
the path to a promising future",
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journal = "Genetic Programming and Evolvable Machines",
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year = "2011",
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volume = "12",
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number = "3",
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pages = "183--215",
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month = sep,
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keywords = "genetic algorithms, genetic programming, evolvable
hardware, EHW, Future technology, Scalability,
Computation medium, Review",
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ISSN = "1389-2576",
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DOI = "doi:10.1007/s10710-011-9141-6",
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size = "33 pages",
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abstract = "Nature is phenomenal. The achievements in, for
example, evolution are everywhere to be seen:
complexity, resilience, inventive solutions and beauty.
Evolvable Hardware (EH) is a field of evolutionary
computation (EC) that focuses on the embodiment of
evolution in a physical media. If EH could achieve even
a small step in natural evolution's achievements, it
would be a significant step for hardware designers.
Before the field of EH began, EC had already shown
artificial evolution to be a highly competitive problem
solver. EH thus started off as a new and exciting field
with much promise. It seemed only a matter of time
before researchers would find ways to convert such
techniques into hardware problem solvers and further
refine the techniques to achieve systems that were
competitive with or better than human designs. However,
15 years on it appears that problems solved by EH are
only of the size and complexity of that achievable in
EC 15 years ago and seldom compete with traditional
designs. A critical review of the field is presented.
Whilst highlighting some of the successes, it also
considers why the field is far from reaching these
goals. The paper further redefines the field and
speculates where the field should go in the next 10
years.",
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notes = "Brief mention of GP, mostly Koza, Lohn and Miller.
Claims to define EHW. randomspice, ngspice. JPL,
Heidelberg FTPA, Xilinx, Altera FPGA, systolic arrays,
MOGA, adaptive clock skew. Overhype, secure funding,
lack of theoretical work. Complexity Kolmogorov,
Lempel-Ziv. Reliability, multiple faults. we need to
take a fresh look at the way we think about evolvable
hardware",
- }
Genetic Programming entries for
Pauline Haddow
Andrew M Tyrrell
Citations