中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
BAS-ADAM: An ADAM Based Approach to Improve the Performance of Beetle Antennae Search Optimizer

文献类型:期刊论文

作者Ameer Hamza Khan; Xinwei Cao; Shuai Li; Vasilios N. Katsikis; Liefa Liao
刊名IEEE/CAA Journal of Automatica Sinica
出版日期2020
卷号7期号:2页码:461-471
关键词Adaptive moment estimation (ADAM) Beetle antennae search (BAM) gradient estimation metaheuristic optimization nature-inspired algorithms neural network
ISSN号2329-9266
DOI10.1109/JAS.2020.1003048
英文摘要In this paper, we propose enhancements to Beetle Antennae search (BAS) algorithm, called BAS-ADAM, to smoothen the convergence behavior and avoid trapping in local-minima for a highly non-convex objective function. We achieve this by adaptively adjusting the step-size in each iteration using the adaptive moment estimation (ADAM) update rule. The proposed algorithm also increases the convergence rate in a narrow valley. A key feature of the ADAM update rule is the ability to adjust the step-size for each dimension separately instead of using the same step-size. Since ADAM is traditionally used with gradient-based optimization algorithms, therefore we first propose a gradient estimation model without the need to differentiate the objective function. Resultantly, it demonstrates excellent performance and fast convergence rate in searching for the optimum of non-convex functions. The efficiency of the proposed algorithm was tested on three different benchmark problems, including the training of a high-dimensional neural network. The performance is compared with particle swarm optimizer (PSO) and the original BAS algorithm.
源URL[http://ir.ia.ac.cn/handle/173211/42957]  
专题自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式
GB/T 7714
Ameer Hamza Khan,Xinwei Cao,Shuai Li,et al. BAS-ADAM: An ADAM Based Approach to Improve the Performance of Beetle Antennae Search Optimizer[J]. IEEE/CAA Journal of Automatica Sinica,2020,7(2):461-471.
APA Ameer Hamza Khan,Xinwei Cao,Shuai Li,Vasilios N. Katsikis,&Liefa Liao.(2020).BAS-ADAM: An ADAM Based Approach to Improve the Performance of Beetle Antennae Search Optimizer.IEEE/CAA Journal of Automatica Sinica,7(2),461-471.
MLA Ameer Hamza Khan,et al."BAS-ADAM: An ADAM Based Approach to Improve the Performance of Beetle Antennae Search Optimizer".IEEE/CAA Journal of Automatica Sinica 7.2(2020):461-471.

入库方式: OAI收割

来源:自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。