近年来群智能算法发展较为迅速并解决了很多大规模的复杂问题。人工蜂群算法是一种新型的群智能算法， 以其很强的全局收敛性、贪婪启发式的搜索特征以及求解问题的快速性等优越的性能受到广泛关注。简单介绍了人工蜂群算 法提出的生物学背景；由蜜蜂觅食行为与现实问题的求解类比给出了该算法的建模思想；并详细介绍了人工蜂群算法实现的 算法模型;从基于算法的改进以及基于算法的应用两方面讨论了近年来很多学者对人工蜂群算法研究的现状;最后对人工蜂群 算法的研究进行展望，从算法的弱点分析提出了该算法改进的方向以及进一步应用的领域。

Swarm intelligence algorithm develops rapidly these years and solve many large scale complex problems. Artificial bee colony algorithm is a new swarm intelligence algorithm, which gets wide attention for its superior performance, for example, strong global convergence, greedy heuristic search feature and quickly problem solution. The biological background is introduced briefly; modeling thought is given through the comparision between bees foraging behavior and problems solution; and algorithm model is introduced in detail; the research status quo is discussed from improvement and application of the algorithm these years; at last, research prospects are given about artificial bee colony algorithm, and improvement direction and application field are put forward from the weekness analysis of algorithm.