Adaptive genetic algorithm of cloud based on double bee population evolutionary

Traditional adaptive genetic algorithm still easily gets stuck at a local optimum. To solve the problem, a novel adaptive genetic algorithm of cloud based on double bee population evolutionary was introduced, which was based on stable tendency of a normal cloud model and the evolutionary mechanism of double bee population. In this algorithm, a Y-conditional normal cloud generator and the queen were used as the cross operator of genetic algorithm, and a basic normal cloud generator was used as the mutation operator. From the simulation results of function optimization and the optimization of heavy rain intensity formula's parameter, it is believed that the improved algorithm is effective and will become a promising candidate of evolutionary algorithms.