Stability Analysis of Swarm Intelligence Algorithm
and its Application in Industry 4.0
Abstract
One of the most challenging areas of knowledge over the years has been the many optimization methodologies. Optimization algorithm development and evolution has been the subject of much examination and research since the early nineteenth century. In order to tackle optimization issues in the fields of science, engineering, economics, etc., a variety of gradient-based optimization techniques and linear programming approaches have been widely employed. In issues with more than one local optimum, these techniques haven't stabilized and haven't performed well. Additionally, neither of them is able to decrease the complexity of real-world engineering challenges. Therefore, a comprehensive research have been done on Swarm Intelligence and numerous algorithms like Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Differential Evolution (DE), Ant Colony Optimization (ALO), Harmony Search (HS), Cuckoo Search (SOS) have been proposed.
Now, stability analysis of robust Swarm Intelligence algorithms and their application for Smart Manufacturing in Industry 4.0 have been emerged as important area of research. Its ensemble analysis along with Bounded Input Bounded Output (BIBO) have drawn a significant attention due to its astonishing precise and accurate data handling performances which is the most essential factor for modern communication systems.
Short Biography
Dr. Subhabrata Banerjee is a Professor in the department of Electronics and Communication Engineering, Institute of Engineering and Management, Kolkata, India. He was awarded National Scholarship by WBED, West Bengal Government. He received his M.Tech. and PhD degrees in Electronics and Telecommunication Engineering from renowned Jadavpur University, Kolkata, India. He initially worked as Programmer Analysist in Cognizant Technology Solution and then was working as Assistant Professor in the Department of Electronics and Communication Engineering at Future Institute of Engineering and Management, Kolkata, India and as Associate Professor in the same institution thereafter. He is now working as Professor in Institute of Engineering and Management, Kolkata, India since 2021. He was authored numerous articles published in prestigious journals including Wireless Personal Communication (Springer), Personal and Ubiquitous Computing (Springer), International Journal of Communication Systems (Wiley) and Institution of Engineering and Technology (IET, UK). He has published more than 40 papers in International Conferences and International Journals of repute. He also published book chapter under IET, UK publication. He is also the author of three books named Genetic Algorithms & Machine Learning for Python Programmers, Hands On Data Visualization Using Python & C++, Chronicles Epic Adventures In The Galaxy Of Coding. His current research interests include Communication and Coding Theory, Machine Learning, Robotics, IOT, Control System, and Evolutionary Algorithms, Soft Computation.
