人工蜂群算法是模仿蜜蜂行为提出的一种优化方法，只需要对问题进行优劣的比较，通过各人工蜂个体的局部寻优行为，最终在群体中使全局最优值突现出来，有着较快的收敛速度。-Artificial colony algorithm is to imitate the bee behavior put forward an optimization method，Only need to compare advantages and disadvantages of problem， Through the local optimization behavior of each individual worker bees，Eventually emerged in groups to make the global optimal value，Has a faster convergence speed