Mining inverse function based on gene expression programming with dynamic fitness
基于动态适应度的基因表达式编程挖掘反函数*

To improve the efficiency of the GEP discovering knowledge,this paper proposed and implemented the dynamic fit- ness function of GEP.Applied the precision stepwise adaptation of weights to the dynamic adaptation of the GEP fitness func- tion.Took the linear N dimension vector function as a component of the GEP fitness function,with which improved the compu- ting efficiency.Gave extended experiments on inverse function mining and equation solving to show that the new method im- proves the precision of the inverse function by around 8% compare to the traditional GEP.