Variable Topology Cartesian Genetic Programming for Combinational Circuit
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- @InProceedings{XiuqinWang:2008:ICNC,
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author = "Xiuqin Wang and Hao Wang and Guangsheng Ma",
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title = "Variable Topology Cartesian Genetic Programming for
Combinational Circuit",
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booktitle = "Fourth International Conference on Natural
Computation, ICNC '08",
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year = "2008",
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month = oct,
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volume = "7",
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pages = "306--310",
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keywords = "genetic algorithms, genetic programming, Cartesian
genetic programming, auto-design, combinational
circuit, evolvable hardware, genetic coding,
self-adapt, self-organization, self-repair, variable
topology Cartesian genetic programming, combinational
circuits",
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DOI = "doi:10.1109/ICNC.2008.522",
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abstract = "Evolvable hardware is consisted of hardware and
evolvable algorithm. It has the ability of
self-organization, self-adapt, self-repair and
auto-design. Because of its important application
values and the shortcomings of traditional methods,
generating evolvable circuit with quick speed and
obtaining the optimal evolvable circuit are the hotspot
in the field of evolvable circuit. In this paper a two
stage evolution algorithm is proposed, which use
variable topology genetic coding to improve the
flexibility of Cartesian Genetic Programming (CGP).
Simulation results demonstrate the validity and
performance of the proposed method.",
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notes = "Also known as \cite{4667990}",
- }
Genetic Programming entries for
Xiuqin Wang
Hao Wang
Guangsheng Ma
Citations