Overview
- Contains largest collection of cutting-edge research in Artificial Intelligence and Evolutionary Computations from researchers from academic and industry
- Comprises of original work, information, techniques and applications in the field of Communication, Computing and Power Technologies
- Provides insights into an international forum for discussion and communication of engineering and technological issues
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 517)
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Table of contents (70 papers)
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Front Matter
Keywords
About this book
The volume is a collection of high-quality peer-reviewed research papers presented in the International Conference on Artificial Intelligence and Evolutionary Computation in Engineering Systems (ICAIECES 2016) held at SRM University, Chennai, Tamilnadu, India. This conference is an international forum for industry professionals and researchers to deliberate and state their research findings, discuss the latest advancements and explore the future directions in the emerging areas of engineering and technology. The book presents original work and novel ideas, information, techniques and applications in the field of communication, computing and power technologies.
Editors and Affiliations
About the editors
Dr. Subhransu Sekhar Dash is presently Professor in the Department of Electrical and Electronics Engineering, SRM University, Chennai, India. He received his Ph.D. degree from College of Engineering, Guindy, Anna University, Chennai, India. He has more than 19 years of research and teaching experience. His research areas are power electronics and drives, modeling of facts controller, power quality, power system stability and smart grid. He is a Visiting Professor at Francois Rabelais University, POLYTECH, France and visiting research scholar at University of Wisconsin, Millwauke, USA.
Dr. K Vijayakumar is presently HOD and Professor in the Department of Electrical and Electronics Engineering, SRM University, Chennai, India. He received his Ph.D. degree from SRM University, Chennai, India. He has more than 19 years of research and teaching experience. His research areas are modelling, control and operation of power system, optimization of power system, flexible AC transmission system, and power quality.
Dr. Swagatam Das received the B. E. Tel. E., M. E. Tel. E (Control Engineering specialization) and Ph.D. degrees, all from Jadavpur University, India, in 2003, 2005 and 2009, respectively. He is currently serving as Assistant Professor at the Electronics and Communication Sciences Unit of the Indian Statistical Institute, Kolkata, India. His research interests include evolutionary computing, pattern recognition, multi-agent systems, and wireless communication. He has published one research monograph, one edited volume and more than 200 research articles in peer-reviewed journals and international conferences.
Dr. Bijaya Ketan Panigrahi is Associate Professor of Electrical and Electronics Engineering Department in Indian Institute of Technology, Delhi, India. He received his Ph.D. degree from Sambalpur University. He is a chief editor in the International Journal of Power and Energy Conversion. Hisinterests focus on power quality, facts devices, power system protection, and AI application to power system.Bibliographic Information
Book Title: Artificial Intelligence and Evolutionary Computations in Engineering Systems
Book Subtitle: Proceedings of ICAIECES 2016
Editors: Subhransu Sekhar Dash, K. Vijayakumar, Bijaya Ketan Panigrahi, Swagatam Das
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-981-10-3174-8
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2017
Softcover ISBN: 978-981-10-3173-1Published: 13 July 2017
eBook ISBN: 978-981-10-3174-8Published: 11 July 2017
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XV, 863
Number of Illustrations: 139 b/w illustrations, 306 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Algorithm Analysis and Problem Complexity