Research on a novel adaptive genetic algorithm

摘要

The function scaling diversity of population is put forth. Taking the relation between diversity of evolution population and evolution time into account, a factor function is presented. Based on it, a novel adaptive genetic algorithm is brought forward, in which the number of crossover and mutation operation points changes with diversity of population and effect function. Multi-peak value function optimization result show s that the algorithm presented in this paper can solve premature convergence problem efficiently and converge to globally optimal solution.