Differential Evolution Algorithm with Adaptive Second Mutation

A new adaptive second mutation differential evolution algorithm(ASMDE) based on the variance of the population's fitness is presented.In order to improve the population's diversity and the ability of breaking away from the local optimum,according to the value of the variance of the population's fitness during the running time,a new mutation operator is adapted to mutate both the best individual and partial other individuals.Several classic Benchmarks functions are tested and the results show that the proposed algorithm can avoid the premature convergence and improves the global convergence ability remarkably.