Improved shuffled frog leaping algorithm

To enhance the performance of Shuffled Frog Leaping Algorithm(SFLA) in solving optimization problems,this paper proposed an improved shuffled frog leaping algorithm.By adding mutation operator to the original algorithm,the improved algorithm regulated the scale of mutation operator via fuzzy controller,made a dynamic adjustment of mutation operator in the searching range of solution space with different phase and candidate solution distribution of evolution process.The simulation results of four typical functions of optimization problems show that the proposed algorithm can attain above twice improvement on accuracy,convergent speed and success rate,and it demonstrates a better optimization capability especially in solving the high dimensional complex optimization problem,in comparison with the basic shuffled frog leaping algorithm and the known improved algorithm.