A Hardware Descriptive Approach to Beetle Antennae Search

doi:10.1109/ACCESS.2020.2993600

	A Hardware Descriptive Approach to Beetle Antennae Search
	Yue, Zongcheng 1; Li, Gang2 ; Jiang, Xiangyuan 3; Li, Shuai 4; Cheng, Jian2 ; Ren, Peng 1
发表期刊	IEEE ACCESS
ISSN	2169-3536
	2020
卷号	8 页码:89059-89070
通讯作者	Ren, Peng(pengren@upc.edu.cn)
摘要	Beetle antennae search (BAS) is a newly developed meta-heuristic algorithm which is effectively used for optimizing objective functions of complex forms or even unknown forms. The common practice for implementing meta-heuristic algorithms including the BAS largely relies on programming in a high-level language and executing the code on a computer platform. However, the high-level implementation of the BAS algorithm hinders it from being used in an embedding system, where real-time operations are normally required. To address this limitation, we present an approach to implementing the BAS algorithm on a field-programmable gate array (FPGA). Specifically, we program the BAS function in the Verilog hardware description language (HDL), which provides a tractable vehicle for implementing the BAS algorithm at the gate level on the FPGA chip. We simulate our Verilog HDL based BAS module with the Modelsim platform. Simulation results validate the feasibility of our proposed Verilog HDL implementation of the BAS. Additionally, we implement the BAS model on the Zynq XC7Z010 platform, with 132.5 mu s latency for model implementation.
关键词	Field programmable gate arrays Hardware design languages Optimization Directive antennas Genetic algorithms Hardware FPGA beetle antennae search Verilog HDL optimization algorithm
DOI	10.1109/ACCESS.2020.2993600
关键词[WOS]	ALGORITHM ; FPGA ; OPTIMIZATION ; DESIGN
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[U1906217] ; Innovative Research Team Program for Young Scholars at Universities in Shandong Province[2020KJN010]
项目资助者	National Natural Science Foundation of China ; Innovative Research Team Program for Young Scholars at Universities in Shandong Province
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000538727700018
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：7[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/39821
专题	复杂系统认知与决策实验室_高效智能计算与学习
通讯作者	Ren, Peng
作者单位	1.China Univ Petr East China, Coll Oceanog & Space Informat, Qingdao 266580, Peoples R China 2.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 3.Shandong Univ, Inst Marine Sci & Technol, Qingdao 266237, Peoples R China 4.Swansea Univ, Coll Engn, Swansea SA1 8EN, W Glam, Wales
推荐引用方式 GB/T 7714	Yue, Zongcheng,Li, Gang,Jiang, Xiangyuan,et al. A Hardware Descriptive Approach to Beetle Antennae Search[J]. IEEE ACCESS,2020,8:89059-89070.
APA	Yue, Zongcheng,Li, Gang,Jiang, Xiangyuan,Li, Shuai,Cheng, Jian,&Ren, Peng.(2020).A Hardware Descriptive Approach to Beetle Antennae Search.IEEE ACCESS,8,89059-89070.
MLA	Yue, Zongcheng,et al."A Hardware Descriptive Approach to Beetle Antennae Search".IEEE ACCESS 8(2020):89059-89070.