2023 4th International Conference on Information Science, Parallel and Distributed Systems(ISPDS 2023)

Speakers (Leicester)

Shuai Liu.png

Prof. Steven Li

Swansea University, UK

Dr. Li received the B.E. degree in precision mechanical engineering from Hefei University of Technology in 2005, the M.E. degree in automatic control engineering from University of Science and Technology of China in 2008, and the Ph.D. degree in electrical and computer engineering from Stevens Institute of Technology, USA, in 2014. He is currently an Associate Professor (Reader) at Swansea University, UK, leading the Robotic Lab, conducting research on robot manipulation and impedance control, multi-robot coordination, distributed control, intelligent optimization and control, and legged robots. 


Beetle Antennae Search: Mathematic Formulation and Applications


The Beetle Antennae Search (BAS) algorithm is a nature-inspired optimization algorithm inspired by the unique behavior of beetle antennae. This paper presents a comprehensive mathematical formulation of the BAS algorithm and explores its various applications. The mathematical model of the BAS algorithm is developed by incorporating the principles of antenna sensing and exploration behavior observed in beetles. The algorithm's performance is evaluated using benchmark optimization problems, demonstrating its effectiveness in finding optimal solutions in complex and dynamic search spaces. Additionally, this study investigates the applicability of the BAS algorithm in diverse fields, such as engineering design, image processing, data clustering, and pattern recognition. Experimental results and comparative analyses highlight the advantages and potential of the BAS algorithm in addressing real-world optimization problems. Overall, this work provides a solid foundation for understanding the mathematical principles underlying the BAS algorithm and demonstrates its potential for solving a wide range of practical optimization challenges.