Novel improved shuffled frog leaping algorithm
Pengjun Zhao · Computer Engineering and Applications Journal · 2012
To overcome the drawbacks of local optima and instability involved in Shuffled Frog Leaping Algorithm(SFLA), an improved SFLA is proposed. The proposed algorithm employs Opposition Based Learning(OBL)to generate the initial population, which can obtain better initial candidate solutions. During the course of evolvement, the Differential Evolution(DE)is embedded in SFLA organically to maintain the population diversity. Numerical results show that the proposed SFLA has a better capability to solve complex functions than other algorithms.