It is a very common engineering application problem to search an global optimum solution of a function.Simple genetic algorithm is a powerful tool to solve these problems.But SGA has the shortcomings in overall situation and convergence speed.Based on the optimization for genetic operator,this paper put forwards a kind of improved genetic algorithm combined with classified selection and directed mutation to solve global optimization problem.The simulation experiments show that the improved algorithm has strong overall situation ability and fast convergence speed.
genetic algorithmsfunction global optimizationgenetic operator optimization
NETL
NSTL
万方数据
维普
