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A Hardware Descriptive Approach to Beetle Antennae Search

Authors :
Zongcheng Yue
Gang Li
Xiangyuan Jiang
Shuai Li
Jian Cheng
Peng Ren
Source :
IEEE Access, Vol 8, Pp 89059-89070 (2020)
Publication Year :
2020
Publisher :
IEEE, 2020.

Abstract

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.

Details

Language :
English
ISSN :
21693536
Volume :
8
Database :
Directory of Open Access Journals
Journal :
IEEE Access
Publication Type :
Academic Journal
Accession number :
edsdoj.994a9ce8c57b4e33adee3fa9ba465d16
Document Type :
article
Full Text :
https://doi.org/10.1109/ACCESS.2020.2993600