Research on Improved Strategy of Shuffled Frog Leaping Algorithm

被引：0
|
作者：
Wang, Zhen [1 ]
Zhang, Danhong [1 ]
Wang, Biao [1 ]
Chen, Wenwen [1 ]
机构：
[1] Wuhan Univ Technol, Sch Automat, Wuhan, Peoples R China
来源：
2019 34RD YOUTH ACADEMIC ANNUAL CONFERENCE OF CHINESE ASSOCIATION OF AUTOMATION (YAC) | 2019年
关键词：
shuffled frog leaping algorithm; adaptive mobility actor; update strategy; search accuracy; convergence speed; OPTIMIZATION;
D O I：
10.1109/yac.2019.8787721
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The shuffled frog leaping algorithm (SFLA) is suitable for solving various combinatorial optimization problems. However, the algorithm has the disadvantages of slow convergence, easy to fall into the local optimal solution and premature convergence. Therefore, this paper will improve the classic SFLA from the introduction of adaptive mobility factor and the update strategy of sub-population frog individuals, and carry out simulation comparison experiments. The results show that the improved SFLA effectively improves the search accuracy and convergence speed.
引用
收藏
页码：270 / 273
页数：4
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