Designing Optimal Combinational Digital Circuits Using a Multiple Logic Unit Processor
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @InProceedings{cheang:2004:eurogp,
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author = "Sin Man Cheang and Kin Hong Lee and Kwong Sak Leung",
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title = "Designing Optimal Combinational Digital Circuits Using
a Multiple Logic Unit Processor",
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booktitle = "Genetic Programming 7th European Conference, EuroGP
2004, Proceedings",
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year = "2004",
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editor = "Maarten Keijzer and Una-May O'Reilly and
Simon M. Lucas and Ernesto Costa and Terence Soule",
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volume = "3003",
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series = "LNCS",
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pages = "23--34",
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address = "Coimbra, Portugal",
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publisher_address = "Berlin",
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month = "5-7 " # apr,
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organisation = "EvoNet",
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publisher = "Springer-Verlag",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "3-540-21346-5",
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size = "12 pages",
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DOI = "doi:10.1007/978-3-540-24650-3_3",
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abstract = "Genetic Parallel Programming (GPP) is a novel Genetic
Programming paradigm. The GPP Accelerating Phenomenon,
i.e. parallel programs are easier to be evolved than
sequential programs, opens up a new approach to evolve
solution programs in parallel forms. Based on the GPP
paradigm, we developed a combinational digital circuit
learning system, the GPP+MLP system. An optimal
Multiple Logic Unit Processor (MLP) is designed to
evaluate genetic parallel programs. To show the
effectiveness of the proposed GPP+MLP system, four
multi-output Binary arithmetic circuits are used.
Experimental results show that both the gate counts and
the propagation gate delays of the evolved circuits are
less than conventional designs. For example, in a 3-bit
multiplier experiment, we obtained a combinational
digital circuit with 26 two-input logic gates in 6 gate
levels. It uses 4 gates less than a conventional
design.",
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notes = "Part of \cite{keijzer:2004:GP} EuroGP'2004 held in
conjunction with EvoCOP2004 and EvoWorkshops2004",
- }
Genetic Programming entries for
Ivan Sin Man Cheang
Kin-Hong Lee
Kwong-Sak Leung
Citations