An experiment on evolutionary design of combinational logic circuits using information theory

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Xiong:2011:SECon,

• author = "Fan Xiong and Murat M. Tanik",
• title = "An experiment on evolutionary design of combinational logic circuits using information theory",
• booktitle = "Proceedings of IEEE Southeastcon, 2011",
• year = "2011",
• month = mar,
• pages = "379--383",
• abstract = "This paper explores an approach in which information theory is applied to the evolvable hardware field for auto-design and optimisation of combinational logic circuits. In our exploratory experiment, two combinational circuits were extrinsically evolved using genetic programming as the evolutionary algorithm and mutual information as the fitness function. In our experiment using MATLAB, we demonstrated that the proposed method could find all-NAND solutions for circuits, which has not been reported in the literature.",
• keywords = "genetic algorithms, genetic programming, Matlab, NAND circuits, combinational logic circuits, evolutionary algorithm, evolutionary design, information theory, NAND circuits, information theory, logic design",
• DOI = "doi:10.1109/SECON.2011.5752970",
• ISSN = "1091-0050",
• notes = "SECon 2011 Also known as \cite{5752970}",

}

Genetic Programming entries for Fan Xiong Murat M Tanik

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