优化算法
计算机科学
搜索算法
算法
启发式
数学优化
功能(生物学)
数学
人工智能
进化生物学
生物
作者
Xiangyuan Jiang,Shuai Li
出处
期刊:Cornell University - arXiv
日期:2017-01-01
被引量:22
标识
DOI:10.48550/arxiv.1710.10724
摘要
Meta-heuristic algorithms have become very popular because of powerful performance on the optimization problem. A new algorithm called beetle antennae search algorithm (BAS) is proposed in the paper inspired by the searching behavior of longhorn beetles. The BAS algorithm imitates the function of antennae and the random walking mechanism of beetles in nature, and then two main steps of detecting and searching are implemented. Finally, the algorithm is benchmarked on 2 well-known test functions, in which the numerical results validate the efficacy of the proposed BAS algorithm.
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