基于蜜蜂双种群进化机制的云自适应遗传算法

Adaptive genetic algorithm of cloud based on double bee population evolutionary

为了提高传统自适应遗传算法的鲁棒性,受蜜蜂双种群进化的机制启发,把雄蜂通过竞争参与交叉及雄蜂与决定双蜂群优秀遗传基因的蜂后交叉的机制引入算法中,再利用正态云模型云滴的随机性和稳定倾向性特点,提出了基于蜜蜂双种群进化机制的云自适应遗传算法。算法由正态云模型的Y条件云发生器及蜂后参与的方式实现交叉操作,基本云发生器实现变异操作。函数优化实验和暴雨强度公式参数优化的仿真结果表明了算法的有效性和可行性。

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.