Evolving Cell Array Configurations Using CGP
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{Bremner:2011:EuroGP,
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author = "Paul Bremner and Mohammad Samie and
Anthony G. Pipe and Gabriel Dragffy and Yang Liu",
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title = "Evolving Cell Array Configurations Using CGP",
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booktitle = "Proceedings of the 14th European Conference on Genetic
Programming, EuroGP 2011",
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year = "2011",
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month = "27-29 " # apr,
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editor = "Sara Silva and James A. Foster and Miguel Nicolau and
Mario Giacobini and Penousal Machado",
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series = "LNCS",
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volume = "6621",
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publisher = "Springer Verlag",
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address = "Turin, Italy",
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pages = "73--84",
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organisation = "EvoStar",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-3-642-20406-7",
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DOI = "doi:10.1007/978-3-642-20407-4_7",
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abstract = "A cell array is a proposed type of custom FPGA, where
digital circuits can be formed from interconnected
configurable cells. In this paper we have presented a
means by which CGP might be adapted to evolve
configurations of a proposed cell array. As part of
doing so, we have suggested an additional genetic
operator that exploits modularity by copying sections
of the genome within a solution, and investigated its
efficacy. Additionally, we have investigated applying
selection pressure for parsimony during functional
evolution, rather than in a subsequent stage as
proposed in other work. Our results show that solutions
to benchmark problems can be evolved with a good degree
of efficiency, and that compact solutions can be found
with no significant impact on the required number of
circuit evaluations.",
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notes = "Part of \cite{Silva:2011:GP} EuroGP'2011 held in
conjunction with EvoCOP2011 EvoBIO2011 and
EvoApplications2011",
- }
Genetic Programming entries for
Paul Bremner
Mohammad Samie
Anthony Pipe
Gabriel Dragffy
Yang Liu
Citations