Multiple factor fitting based on GEP
Rui Wang · Computer Engineering and Applications Journal · 2007
This paper proposes an approach to implement function fitting by multiple factors named MFF(Multiple Factor Fitting)based on GEP(Gene Expression Programming).MFF can discover a function formed by multiple factors to fit the original curve. MFF optimizes the fitness function in GEP by special approach called probability correlation factor,which increases the precision by 27%.At the same time,adopting TDQ(Threshold Degression Queue) to improve the success-probability by 58 times compared with traditional approaches.