中国邮电高校学报(英文) ›› 2020, Vol. 27 ›› Issue (3): 1-20.doi: 10.19682/j.cnki.1005-8885.2020.0012
• Artificial Intelligence • 下一篇
费炜1,刘聪1,2,胡胜1
收稿日期:2019-09-23
修回日期:2019-12-13
出版日期:2020-06-24
发布日期:2020-08-30
通讯作者:
刘聪
E-mail:liucong8@163.com
基金资助:Fei Wei1,Liu /Cong1,1,Hu /Sheng
Received:2019-09-23
Revised:2019-12-13
Online:2020-06-24
Published:2020-08-30
Contact:
Liu /Cong
E-mail:liucong8@163.com
Supported by:摘要： 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.
中图分类号:
Fei Wei Liu /Cong Hu /Sheng . Research on swarm intelligence optimization algorithm[J]. The Journal of China Universities of Posts and Telecommunications, 2020, 27(3): 1-20.
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