Measuring the Performance and Intrinsic Variability of Evolved Circuits
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @InProceedings{Walker:2010:ICES,
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author = "James Alfred Walker and James A Hilder and
Andy M. Tyrrell",
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title = "Measuring the Performance and Intrinsic Variability of
Evolved Circuits",
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booktitle = "Proceedings of the 9th International Conference
Evolvable Systems: From Biology to Hardware, ICES
2010",
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year = "2010",
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editor = "Gianluca Tempesti and Andy M. Tyrrell and
Julian F. Miller",
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series = "Lecture Notes in Computer Science",
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volume = "6274",
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pages = "1--12",
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address = "York",
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month = sep # " 6-8",
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming, Cartesian
Genetic Programming",
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isbn13 = "978-3-642-15322-8",
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DOI = "doi:10.1007/978-3-642-15323-5_1",
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abstract = "This paper presents a comparison between conventional
and multi-objective Cartesian Genetic Programming
evolved designs for a 2-bit adder and a 2-bit
multiplier. Each design is converted from a gate-level
schematic to a transistor level implementation, through
the use of an open-source standard cell library, and
simulated in NGSPICE in order to generate industry
standard metrics, such as propagation delay and dynamic
power. Additionally, a statistical intrinsic
variability analysis is performed, in order to see how
each design is affected by intrinsic variability when
fabricated at a cutting-edge technology node. The
results show that the evolved design for the 2-bit
adder is slower and consumes more power than the
conventional design. The evolved design for the 2-bit
multiplier was found to be faster but consumed more
power than the conventional design, and that it was
also more tolerant to the effects of intrinsic
variability in both timing and power. This provides
evidence that in the future, evolutionary-based
approaches could be a feasible alternative for
optimising designs at cutting-edge technology nodes,
where traditional design methodologies are no longer
appropriate, providing speed and power information
about the standard cell library is used.",
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affiliation = "Intelligent Systems Group, Department of Electronics,
University of York, Heslington, York, YO10 5DD UK",
- }
Genetic Programming entries for
James Alfred Walker
James A Hilder
Andrew M Tyrrell
Citations