基于病毒进化机制的基因表达式编程算法研究<sup>*</sup>

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Abstract Combined with the concept of the virus evolution principles, an algorithm, virusgene expression programming (VGEP), is proposed to solve the function fitting problem and the timeseries optimization problem. It improves searching efficiency and decreases the probability of premature phenomena by constructing a new update and infect mechanism for virus. Theoretical analysis has proved that VGEP converges to the global optimum. The simulation results indicate that VGEP performs better than SGEP both in quality of solution and speed of convergence. The results from the project of image calibration show the effectiveness of the propose algorithm.

Key words： Gene Expression Programming Virus Evolution Function Fitting Time Series

Received: 07 July 2006

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	Articles by authors
	YANG Jie
	LI DeHua
	WANG ZuXi
	CHEN Lei

Cite this article:

YANG Jie,LI DeHua,WANG ZuXi等. Research on Gene Expression Programming Algorithm Based on Virus Evolution[J]. , 2007, 20(3): 399-405.

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http://manu46.magtech.com.cn/Jweb_prai/EN/ OR http://manu46.magtech.com.cn/Jweb_prai/EN/Y2007/V20/I3/399

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