首页|Research on swarm intelligence optimization algorithm
Research on swarm intelligence optimization algorithm
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
万方数据
维普
The bionics-based swarm intelligence optimization algorithm is a typical natural heuristic algorithm whose goal is to find the global optimal solution of the optimization problem.It simulates the group behavior of various animals and uses the information exchange and cooperation between individuals to achieve optimal goals through simple and effective interaction with experienced and intelligent individuals.This paper first introduces the principles of various swarm intelligent optimization algorithms.Then,the typical application of these swarm intelligence optimization algorithms in various fields is listed.After that,the advantages and defects of all swarm intelligence optimization algorithms are summarized.Next,the improvement strategies of various swarm intelligence optimization algorithms are explained.Finally,the future development of various swarm intelligence optimization algorithms is prospected.
Hubei Key Laboratory for High-Efficiency Utilization of Solar Energy and Operation Control of Energy Storage System,Hubei University of Technology, Wuhan 430068, China
Hubei Collaborative Innovation Center for High-Efficiency Utilization of Solar Energy, Hubei University of Technology, Wuhan 430068, China
Wuhan Hua'an Science and Technology Co., Ltd., Postdoctoral Workstation, Wuhan 430068, China
This work was supported by the National Natural Science Foundation of Chinaand the Science and Technology Research Program of Hubei Provincial Department of Education
NETL
NSTL
万方数据
维普
