A Differential Evolutionary Algorithm with Inversion Mutation
Gao Yue-lin · Journal of Shangluo University · 2011
For complex functions with high dimensions,a differential evolution algorithm with inversion mutation is presented.When the fitness of the particle doesn't change under successive several generations,optimal particle of the previous generation is used to the inversion mutation,so that it can jump out of the local optimization,which enhances the diversity of population.The numerical results show that the proposed algorithm has not only remarkable global searching ability and fast convergence speed, but also strong robustness.