Overview
- Comprises contributions by the research scholars and academicians across the globe
- Presents cutting-edge research in artificial intelligence and evolutionary computations
- Serves as a good reference material for future work
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 668)
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Table of contents (69 papers)
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Front Matter
Keywords
About this book
The book is a collection of high-quality peer-reviewed research papers presented in the International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems (ICAIECES 2017). The book discusses wide variety of industrial, engineering and scientific applications of the emerging techniques. Researchers from academia and industry have presented their original work and 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 Engineering College, SRM University, Chennai, India. He received his Ph.D. degree from College of Engineering, Guindy, Anna University, Chennai, India. He has more than 20 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. He is the chief editor of International Journal of Advanced Electrical and Computer Engineering.Â
Dr. Paruchuri Chandra Babu Naidu is presently Senior Assistant Professor in the Department of Electrical and Electronics Engineering, Madanapalle Institute of Technology and Science, Madanapalle, Andhra Pradesh, India. He received his Ph.D. degree from SRM University, Chennai, India. He has more than five years of research and teaching experience. His research interests include power quality, power electronics, FACTS devices, and solar system. Dr. Ramazan Bayindir worked as a Research Assistant, Assistance Professor in Electrical Education Department at Gazi University. He became an Associate Professor at Electrical and Electronics Engineering Department at Gazi University. Currently, he is working as a Professor at the same department. His areas of research include renewable energy sources, micro grids, distributed generation, smart grid applications and industrial automation with programmable logic controller (PLC). He served as a program chair in the annual conference of the International Conference on Renewable Energy Research and Applications (ICRERA 2012-2016), 16th International Power Electronics and Motion Control Conference and Exposition (PEMC 2014) and International Conference on Power Engineering, Energy and Electrical Drives, (POWERENG 2013) conference.ÂDr. 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.
Bibliographic Information
Book Title: Artificial Intelligence and Evolutionary Computations in Engineering Systems
Book Subtitle: Proceedings of ICAIECES 2017
Editors: Subhransu Sekhar Dash, Paruchuri Chandra Babu Naidu, Ramazan Bayindir, Swagatam Das
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-981-10-7868-2
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2018
Softcover ISBN: 978-981-10-7867-5Published: 20 March 2018
eBook ISBN: 978-981-10-7868-2Published: 19 March 2018
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XIV, 735
Number of Illustrations: 147 b/w illustrations, 236 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Algorithm Analysis and Problem Complexity