DocumentCode :
3349631
Title :
Implement of evolable hardware based improved genetic algorithm
Author :
Aifeng Ren ; Wei Zhao ; Shuo Tang ; Xin Tong ; Ming Luo
Author_Institution :
Sch. of Electron. Eng., Xidian Univ., Xi´an, China
Volume :
4
fYear :
2011
fDate :
26-28 July 2011
Firstpage :
2112
Lastpage :
2115
Abstract :
Evolvable Hardware (EHW) refers to hardware that can change its architecture and behavior dynamically and autonomously by interacting with its environment. The paper deals with an EHW completely developed on FPGA (Field Programmed Gate Array), with emphasis on the chromosome coding for hardware circuit and operation plat form of GA (Genetic Algorithm). A LUT-based VRC (virtual reconfigurable circuit) implementation of EHW is proposed in this article with the aim to find a general model fitter for evolving large scale circuit system. And a row-column dual decode architecture is adapt to speed up configuration. Moreover, its performance is illustrated with several concrete designs. All modules compilation and simulation are preformed by Altera Quartus II 10.0 and tested on DE2-115 Development Board. Finally, this article puts forward some questions which remain to be solved in the future design of EHW.
Keywords :
decoding; encoding; field programmable gate arrays; genetic algorithms; reconfigurable architectures; Altera Quartus II 10.0; DE2-115 development board; FPGA; LUT-based VRC; chromosome coding; evolvable hardware; field programmed gate array; genetic algorithm; hardware circuit; large scale circuit system; row-column dual decode architecture; virtual reconfigurable circuit; Biological cells; Field programmable gate arrays; Genetic algorithms; Hardware; Microprocessors; Table lookup; Chromosome Coding; Evolvable Hardware; Genetic Algorithm; Nios II;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location :
Shanghai
ISSN :
2157-9555
Print_ISBN :
978-1-4244-9950-2
Type :
conf
DOI :
10.1109/ICNC.2011.6022550
Filename :
6022550
Link To Document :
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