摘要
狼群算法(wolf pack algorithm, WPA)是一种比较新的群智能优化算法,是一种通过模拟狼群捕食行为和猎物分配规则而抽象出的自然启发式算法,自问世以来就受到众多学者的关注。首先对狼群算法的原理进行分析,然后总结算法的改进策略,接着列举算法的相关应用,最后对狼群算法进行展望。
The wolf pack algorithm(WPA) is a relatively new group-intelligent optimization algorithm, which is a natural heuristic algorithm abstracted by simulating the predation behavior and prey allocation rules of wolves. Firstly, the principle of the wolf pack algorithm is analyzed, the improvement strategy of the algorithm summarized, the related applications of the algorithm listed, and finally the future applications of the wolf pack algorithm prospected.
作者
刘聪
费炜
胡胜
LIU Cong;FEI Wei;HU Sheng(School of Electrical and Electronic Engineering,Hubei University of Technology,Wuhan 430068,China;Hubei Collaborative Innovation Center for High-efficiency Utilization of Solar Energy,Wuhan 430068,China)
出处
《科学技术与工程》
北大核心
2020年第9期3378-3386,共9页
Science Technology and Engineering
基金
国家自然科学基金(61601177)
湖北省教育厅科技攻关项目(Q20171401)。
关键词
狼群算法
群智能优化算法
改进策略
算法应用
wolf pack algorithm
swarm intelligent optimization algorithm
improvement strategy
application field
