An Improved Shuffled Prog Leaping Algorithm

摘要

In order to overcome the defects of Shuffled Prog Leaping Algorithm (SFLA) such as nonuniform initial population, slow searching speed in the late evolution and easily trapping into local extremum, a new Shuffled Frog Leaping Algorithm based on mutation operator and population diversity is proposed in this paper. The algorithm has overcome the disadvantage mentioned above. The algorithm efficiency is improved. The experimental results indicate that the algorithm is feasible and show a good performance.