From Binary to Continuous Gates - and Back Again

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

@InProceedings{Bechmann:2010:ICES,

• author = "Matthias Bechmann and Angelika Sebald and Susan Stepney",
• title = "From Binary to Continuous Gates - and Back Again",
• booktitle = "Proceedings of the 9th International Conference Evolvable Systems: From Biology to Hardware, ICES 2010",
• year = "2010",
• editor = "Gianluca Tempesti and Andy M. Tyrrell and Julian F. Miller",
• series = "Lecture Notes in Computer Science",
• volume = "6274",
• pages = "335--347",
• address = "York",
• month = sep # " 6-8",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, cartesian genetic programming",
• isbn13 = "978-3-642-15322-8",
• annote = "The Pennsylvania State University CiteSeerX Archives",
• bibsource = "OAI-PMH server at citeseerx.ist.psu.edu",
• language = "en",
• oai = "oai:CiteSeerX.psu:10.1.1.386.7390",
• rights = "Metadata may be used without restrictions as long as the oai identifier remains attached to it.",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.386.7390",
• URL = "http://www-users.cs.york.ac.uk/~susan/bib/ss/nonstd/ices10.pdf",
• DOI = "doi:10.1007/978-3-642-15323-5_29",
• abstract = "We describe how nuclear magnetic resonance (NMR) spectroscopy can serve as a substrate for the implementation of classical logic gates. The approach exploits the inherently continuous nature of the NMR parameter space. We show how simple continuous NAND gates with sin/sin and sin/sinc characteristics arise from the NMR parameter space. We use these simple continuous NAND gates as starting points to obtain optimised target NAND circuits with robust, error-tolerant properties. We use Cartesian Genetic Programming (CGP) as our optimisation tool. The various evolved circuits display patterns relating to the symmetry properties of the initial simple continuous gates. Other circuits, such as a robust XOR circuit built from simple NAND gates, are obtained using similar strategies. We briefly mention the possibility to include other target objective functions, for example other continuous functions. Simple continuous NAND gates with sin/sin characteristics are a good starting point for the creation of error-tolerant circuits whereas the more complicated sin/sinc gate characteristics offer potential for the implementation of complicated functions by choosing some straightforward, experimentally controllable parameters appropriately.",
• affiliation = "Department of Chemistry, University of York, YO10 5DD UK",

}

Genetic Programming entries for Matthias Bechmann Angelika Sebald Susan Stepney

Citations