Nature-inspired computation is an interdisciplinary topic area that connects the natural sciences to computer science. Since natural computing is utilized in a variety of disciplines, it is imperative to research its capabilities in solving optimization issues. The Handbook of Research on Natural Computing for Optimization Problems discusses nascent optimization procedures in nature-inspired computation and the innovative tools and techniques being utilized in the field. Highlighting empirical research and best practices concerning various optimization issues, this publication is a comprehensive reference for researchers, academicians, students, scientists, and technology developers interested in a multidisciplinary perspective on natural computational systems.
Kumar Jyotsna Mandal, M. Tech.(Computer Science, University of Calcutta), Ph.D.(Engg.,Jadavpur University) in the field of Data Compression and Error Correction Techniques, Professor in Computer Science and Engineering, University of Kalyani, India. He is the Life Member of Computer Society of India since 1992 and life member of cryptology Research Society of India. He is the Ex-Dean Faculty of Engineering, Technology & management, working in the field of Network Security, Steganography, Remote Sensing & GIS Application and Image Processing. He has 28 years of teaching and research experiences. Fifteen Scholars awarded Ph.D. and eight are pursuing. Total number of publications is three hundred sixty in addition of publication of five books from LAP Lambert, Germany.
Somnath Mukhopadhyay is currently working as an Assistant Professor in department of Information Technology in Calcutta Business School, Kolkata. He has done MCA from University of Burdwan 2008 and M.Tech in Computer Science and Engineering from University of Kalyani in 2011. He has a doctoral degree from University of Kalyani in 2015 in the field of Digital Image Processing. He has attended many national and international conferences in India. He is an active member of the board of reviewers in various International Journals and Conferences. His research interests include soft and evolutionary computing, digital image processing, and big data. He has four years of teaching and research experiences.
Tandra Pal received the B.Sc. degree (honors) in physics, the B.Tech. degree in computer science from Calcutta University, Kolkata, India, the M.E. degree in computer science and the Ph.D. degree in Engineering from Jadavpur University, Kolkatata, India. Currently she is Associate Professor in Computer Science and Engineering department of National Institute of Technology, Durgapur, India. She is working here since 1994. Her research interest includes fuzzy sets theory, fuzzy control, fuzzy decision making, artificial neural networks, evolutionary computing, and multi-objective genetic algorithms.
