Convergence analysis of beetle antennae search algorithm and its applications
April 04, 2019 ยท Declared Dead ยท ๐ Soft Computing - A Fusion of Foundations, Methodologies and Applications
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Authors
Yinyan Zhang, Shuai Li, Bin Xu
arXiv ID
1904.02397
Category
cs.NE: Neural & Evolutionary
Citations
70
Venue
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Last Checked
5 months ago
Abstract
The beetle antennae search algorithm was recently proposed and investigated for solving global optimization problems. Although the performance of the algorithm and its variants were shown to be better than some existing meta-heuristic algorithms, there is still a lack of convergence analysis. In this paper, we provide theoretical analysis on the convergence of the beetle antennae search algorithm. We test the performance of the BAS algorithm via some representative benchmark functions. Meanwhile, some applications of the BAS algorithm are also presented.
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