A kind of Composite Shuffled Frog Leaping Algorithm

摘要

In order to overcome the defects of Shuffled Frog Leaping Algorithm (SFLA) such as slow searching speed in the late evolution and easily trapping into local extremum, a Composite Shuffled Frog Leaping Algorithm (CSFLA) based on the basic idea of Artificial Fish-Swarm Algorithm (AFSA) is put forward in this paper in which the follow behavior of fish-swarm is used to accelerate the optimization speed and the swarm behavior to improve the capacity of out of local extremum. The test results indicate that CSFLA increases the convergence velocity outstandingly and enhances the global searching performance effectively.