Cartesian Genetic Programming for Memristive Logic Circuits

Created by W.Langdon from gp-bibliography.bib Revision:1.8194

@InProceedings{howard:2012:EuroGP,

• author = "Gerard David Howard and Larry Bull and Andrew Adamatzky",
• title = "Cartesian Genetic Programming for Memristive Logic Circuits",
• booktitle = "Proceedings of the 15th European Conference on Genetic Programming, EuroGP 2012",
• year = "2012",
• month = "11-13 " # apr,
• editor = "Alberto Moraglio and Sara Silva and Krzysztof Krawiec and Penousal Machado and Carlos Cotta",
• series = "LNCS",
• volume = "7244",
• publisher = "Springer Verlag",
• address = "Malaga, Spain",
• pages = "37--48",
• organisation = "EvoStar",
• isbn13 = "978-3-642-29138-8",
• DOI = "doi:10.1007/978-3-642-29139-5_4",
• keywords = "genetic algorithms, genetic programming, cartesian genetic programming, Self-adaptation, Nanotechnology, Boolean logic, Memristors, Robotics",
• abstract = "In this paper memristive logic circuits are evolved using Cartesian Genetic Programming. Graphs comprised of implication logic (IMP) nodes are compared to more ubiquitous NAND circuitry on a number of logic circuit problems and a robotic control task. Self-adaptive search parameters are used to provide each graph with autonomy with respect to its relative mutation rates. Results demonstrate that, although NAND-logic graphs are easier to evolve, IMP graphs carry benefits in terms of (i) numbers of memristors required (ii) the time required to process the graphs.",
• notes = "Part of \cite{Moraglio:2012:GP} EuroGP'2012 held in conjunction with EvoCOP2012 EvoBIO2012, EvoMusArt2012 and EvoApplications2012",

}

Genetic Programming entries for Gerard David Howard Larry Bull Andrew Adamatzky

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