摘要
介绍了2013年以来国内外蜂群算法的研究成果,包括加快收敛、提高开采能力、提高算法性能方面的改进;针对约束优化、平行化运行、多目标寻优等多方面的研究,以及人工蜂群算法在神经网络、无线传感网、决策调度、图像信号处理等多个领域的研究现状,并指出人工蜂群算法有待进一步解决的问题及未来的研究方向。
This paper reviewed research achievements and application status of ABC at home and abroad since 2013,it included the improvement about accelerating the convergence,strengthening the exploitation ability,improving the performance of ABC,the research progress on constrained optimization,parallel operation,multi-objective optimization;and applications in the fields of neural network,wireless sensor network,scheduling problem,image signal processing area.Finally it proposed se-veral unsolved issues and further research directions of ABC.
作者
何尧
刘建华
杨荣华
He Yao;Liu Jianhua;Yang Ronghua(College of Information Science&Engineering,Fujian University of Technology,Fuzhou 350118,China)
出处
《计算机应用研究》
CSCD
北大核心
2018年第5期1281-1286,共6页
Application Research of Computers
基金
福建省科技厅引导性项目(2017H0001)
福建省教育厅科研资助项目(JA15356)
关键词
人工蜂群算法
群智能
多目标优化
约束优化
artificial bee colony(ABC)algorithm
swarm intelligence
multi-objective optimization
constrained optimization
