Evolving Cell Array Configurations Using CGP

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Bremner:2011:EuroGP,

• author = "Paul Bremner and Mohammad Samie and Anthony G. Pipe and Gabriel Dragffy and Yang Liu",
• title = "Evolving Cell Array Configurations Using CGP",
• booktitle = "Proceedings of the 14th European Conference on Genetic Programming, EuroGP 2011",
• year = "2011",
• month = "27-29 " # apr,
• editor = "Sara Silva and James A. Foster and Miguel Nicolau and Mario Giacobini and Penousal Machado",
• series = "LNCS",
• volume = "6621",
• publisher = "Springer Verlag",
• address = "Turin, Italy",
• pages = "73--84",
• organisation = "EvoStar",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-3-642-20406-7",
• DOI = "doi:10.1007/978-3-642-20407-4_7",
• 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.",
• 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

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