首页|期刊导航|自动化学报(英文版)|A Review on Representative Swarm Intelligence Algorithms for Solving Optimization Problems:Applications and Trends
自动化学报(英文版)2021,Vol.8Issue(10):1627-1643,17.DOI:10.1109/JAS.2021.1004129
A Review on Representative Swarm Intelligence Algorithms for Solving Optimization Problems:Applications and Trends
A Review on Representative Swarm Intelligence Algorithms for Solving Optimization Problems:Applications and Trends
摘要
关键词
Ant colony optimization (ACO)/artificial bee colony (ABC)/artificial fish swarm (AFS)/bacterial foraging optimization (BFO)/optimization/particle swarm optimization (PSO)/swarm intelligenceKey words
Ant colony optimization (ACO)/artificial bee colony (ABC)/artificial fish swarm (AFS)/bacterial foraging optimization (BFO)/optimization/particle swarm optimization (PSO)/swarm intelligence引用本文复制引用
Jun Tang,Gang Liu,Qingtao Pan..A Review on Representative Swarm Intelligence Algorithms for Solving Optimization Problems:Applications and Trends[J].自动化学报(英文版),2021,8(10):1627-1643,17.基金项目
This work was supported in part by the National Natural Science Foundation of China(62073330),in part by the Natural Science Foundation of Hunan Province(2019JJ20021,2020JJ4339)and in part by the Scientific Research Fund of Hunan Province Education Department(20B272).Recommended by Associate Editor Shangce Gao. (62073330)