Soft Computing and Optimization: SCOTA 2021, Ranchi, India, March 26–27

Syeda Darakhshan Jabeen · Javid Ali · Oscar Castillo

březen 2023 · Springer Proceedings in Mathematics & Statistics Kniha 404 · Springer Nature

Podrobnosti o e‑knize

This book collects papers presented at the Virtual International Conference on Soft Computing, Optimization Theory and Applications (SCOTA 2021), held at the Birla Institute of Technology, Mesra, Ranchi, India, from 26–27 March 2021. Topics discussed in the book are on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their application in areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. The book highlights research on: (a) hybrid intelligent systems based on soft computing, new concepts and algorithms based on fuzzy logic and their applications, (b) theory and practice of meta-heuristics in different areas of application, (c) applications of fuzzy logic, (d) neural networks and hybrid intelligent systems in medical applications, (e) neural networks and optimization and evolutionary algorithms and their different applications and (f) applications of fuzzy logic, neural networks and meta-heuristics in pattern recognition problems. Some papers contain applications background like approximate solution of fractional differential equations via fixed-point algorithms and applications to equilibrium problems and image deburring problems. The book will be of great use to students, researchers and scientists in computer science, optimization and engineering, and those interested on computational intelligence and soft computing and their applications.

O autorovi

Syeda Darakhshan Jabeen is Assistant Professor at the Department of Mathematics, Birla Institute of Technology Mesra, Ranchi, India. Earlier, she worked as Post-Doctoral Fellow at the Indian Institute of Technology Kanpur, India, and Research Associate at the Indian Statistical Institute Kolkata, India. She is a prominent researcher in the field of soft computing. She has worked in nature-inspired optimization techniques like genetic algorithms, artificial bee colony optimization, and application of optimization techniques in vehicle vibration control. She has published numerous papers in several journals of repute.

Javid Ali is Senior Assistant Professor at the Department of Mathematics, Aligarh Muslim University, Aligarh, India. Earlier, he was Post-Doctoral Fellow at the Indian Institute of Technology, Kanpur, India and the Technical University of Catalonia, Barcelona, Spain. His research interest is in nonlinear functional analysis and optimization. He received several national and international fellowships and awards. He has published more than 64 research papers in international journals of high repute, and book chapters, and has more than 1000 citations according to Google Scholar. He has delivered several contributed talks at conferences held in India and abroad (which includes the USA, Japan, Taiwan, Turkey, Poland, Italy, Spain, Brazil, Tunisia, Thailand and Saudi Arabia). He also has guided some students for their Ph.D. thesis and projects.

Oscar Castillo is Professor of Computer Science in the Graduate Division, Tijuana Institute of Technology, Tijuana, Mexico. He holds the Doctor in Science degree (Doctor Habilitatus) in computer science from the Polish Academy of Sciences, Poland. He has published more than 300 journal papers, 10 authored books, 50 edited books, 300 papers in conference proceedings, and more than 300 chapters in books, in total more than 1000 publications with h index of 82 and more than 24000 citations according to Google Scholar. He is currently Associate Editor of Information Sciences, Engineering Applications of Artificial Intelligence, Fuzzy Systems, Complex Intelligent Systems, and Intelligent Systems. He has been elected IFSA Fellow in 2015 and MICAI Fellow in 2016. Finally, he recently received the Highly Cited Researcher in 2017 and 2018 by Clarivate Analytics.