Efficient evolutionary programming based on a self-adaptive mutation rule
Li Ren · Kongzhi yu juece · 2002
To improve the efficiency of evolutionary programming, a self adaptive mutation rule is proposed by learning the evolutionary information of total population.With the novel mutation rule, evolutionary programming algorithm not only keeps the population diversity, but also has quicker convergence speed. It is applied to optimize functions with multi modal.The validity of the algorithm is shown by computer simulation results.