Hybrid Algorithm of Slime Mould Algorithm and Arithmetic Optimization Algorithm Based on Random Opposition-Based Learning

Hybrid Algorithm of Slime Mould Algorithm and Arithmetic Optimization Algorithm Based on Random Opposition-Based Learning

Slime mould algorithm (SMA) and arithmetic optimization algorithm (AOA) are new meta-heuristic optimization algorithms proposed recently. SMA has strong ability of global exploration, but the oscillation effect is weak in the late iteration. It is easy to fall into local optimum, and the contraction...

Full description

Bibliographic Details
Main Author: JIA Heming, LIU Yuxiang, LIU Qingxin, WANG Shuang, ZHENG Rong
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2022-05-01
Series:Jisuanji kexue yu tansuo
Subjects:
|slime mould algorithm (sma)|arithmetic optimization algorithm (aoa)|hybrid optimization|random opposition-based learning
Online Access:http://fcst.ceaj.org/fileup/1673-9418/PDF/1652926954129-1075223832.pdf

Internet

http://fcst.ceaj.org/fileup/1673-9418/PDF/1652926954129-1075223832.pdf

Similar Items