English

Convergence analysis of beetle antennae search algorithm and its applications

Neural and Evolutionary Computing 2019-04-05 v1

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.

Keywords

Cite

@article{arxiv.1904.02397,
  title  = {Convergence analysis of beetle antennae search algorithm and its applications},
  author = {Yinyan Zhang and Shuai Li and Bin Xu},
  journal= {arXiv preprint arXiv:1904.02397},
  year   = {2019}
}

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R2 v1 2026-06-23T08:28:59.669Z