Research on Gene Expression Programming Algorithm Based on Virus Evolution
YANG Jie, LI DeHua, WANG ZuXi, CHEN Lei
Key Laboratory of Ministry of Education for Image Processing and Intelligent Control, Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan 430074
Abstract Combined with the concept of the virus evolution principles, an algorithm, virusgene expression programming (VGEP), is proposed to solve the function fitting problem and the timeseries 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.
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2007, Vol. 20 
