DocumentCode :
3312905
Title :
Variable Topology Cartesian Genetic Programming for Combinational Circuit
Author :
Wang, Xiuqin ; Wang, Hao ; Ma, Guangsheng
Author_Institution :
Comput. Sci. & Technol. Inst., Harbin Eng. Univ., Harbin
Volume :
7
fYear :
2008
fDate :
18-20 Oct. 2008
Firstpage :
306
Lastpage :
310
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.
Keywords :
combinational circuits; genetic algorithms; auto-design; combinational circuit; evolvable hardware; genetic coding; self-adapt; self-organization; self-repair; variable topology cartesian genetic programming; Algorithm design and analysis; Circuit topology; Combinational circuits; Computer science; Design optimization; Evolutionary computation; Genetic programming; Hardware; Logic arrays; Logic circuits; Evolvable hardware; Genetic Programming; Variable Topology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
Type :
conf
DOI :
10.1109/ICNC.2008.522
Filename :
4667990
Link To Document :
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