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Implementation of efficient DNA Sequence Generate System with Genetic Algorithm  

Lee Eun-Kyung (Department of Electronics Engineering, Graduate School, Inha University)
Lee Seung-Ryeol (Department of Electronics Engineering, Graduate School, Inha University)
Kim Dong-Soon (Korean Electronics Technology Institute)
Chung Duck-Jin (Department of Electronics Engineering, Graduate School, Inha University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SC / v.43, no.5, 2006 , pp. 44-59 More about this Journal
Abstract
This paper describes the efficient implementation of DNA sequence generate system with genetic algorithm for reducing computation time of NACST. The proposed processor is based on genetic algerian with fitness functions which would suit the point of reference for generated sequences. In order to implement efficient hardware structure, we used the pipelined structure. In addition our design was applied the parallelism to achieve even better simulation time than the sequence generator system which is designed on software. In this paper, our hardware is implemented on the FPGA board with xc2v6000 devices. Through experiment, the proposed hardware achieves 467 times speed-up over software on a PC and sequence generate performance of hardware is same with software.
Keywords
Genetic Algorithm; Sequence generator;
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Times Cited By KSCI : 1  (Citation Analysis)
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