摘要
人工蜂群算法是Karaboga在2005年提出的一种基于蜜蜂觅食行为的群体智能算法,该算法可以很好地解决连续函数的求解问题,后因其强大的性能深受研究者的青睐,得以广泛的研究和应用。本文首先简要介绍了群体智能和人工蜂群算法的发展,然后详细介绍了人工蜂群算法的原理及实现步骤,最后综述近十年来国内外对该算法及其应用的研究状况,进而总结出该算法具有控制参数少、强鲁棒性等优点,并指出该算法时间复杂度略高的基本事实,可成为今后改进的研究方向。
Artificial bee colony algorithm is a kind of swarm intelligence algorithm based on bees foraging behavior which is proposed by Karaboga on 2005. The algorithm can solve continuous function very well, then get many researchers＇ favor because of its powerful performance and be researched and used widely. Firstly, this paper introduces the development of swarm intelligence and artificial bee colony algorithm briefly. Secondly, this paper introduces the principle and steps of ar- tificial bee colony algorithm in details, and reviews the decade research situation of domestic and overseas. The conclusion is given that the algorithm has the advantages of less control parameters and strong robustness. However, the algorithm has slightly high time complexity which can be the future research direction.
出处
《智能计算机与应用》
2014年第6期20-24,共5页
Intelligent Computer and Applications
基金
国家自然科学基金(61300098)
黑龙江省教育厅科学技术研究项目(125333019)
关键词
人工蜂群算法
群体智能
觅食行为
连续函数
强鲁棒性
Artificial Bee Colony Algorithm
Swarm Intelligence
Foraging Behavior
Continuous Function
Strong Robust- ness
