Overview
- Provides valuable insights in the area of computational intelligence to help new researchers
- Discusses the latest findings relating to a wide variety of industrial, engineering and scientific applications of soft computing
- Features invited papers from the inventors/originators of computational techniques
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1139)
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Table of contents (17 papers)
Keywords
About this book
Editors and Affiliations
About the editors
Prof. Kusum Deep is a Professor at the Department of Mathematics, Indian Institute of Technology Roorkee. Her research interests include numerical optimization, nature inspired optimization, computational intelligence, genetic algorithms, parallel genetic algorithms, and parallel particle swarm optimization.
Dr. Jagdish Chand Bansal is an Assistant Professor at the South Asian University, New Delhi, India and visiting research fellow at Liverpool Hope University, UK. He has an excellent academic record and is a leading researcher in the field of swarm intelligence. He has published numerous research papers in respected international and national journals.
Dr. Kedar Nath Das is an Assistant Professor at the Department of Mathematics, National Institute of Technology, Silchar, Assam, India. Over the past 10 years, he has made substantial contributions to research on soft computing, and has published several papers in prominent national and international journals. His chief area of interest is evolutionary and bio-inspired algorithms for optimization.
Bibliographic Information
Book Title: Soft Computing for Problem Solving 2019
Book Subtitle: Proceedings of SocProS 2019, Volume 2
Editors: Atulya K. Nagar, Kusum Deep, Jagdish Chand Bansal, Kedar Nath Das
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-981-15-3287-0
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2020
Softcover ISBN: 978-981-15-3286-3Published: 05 April 2020
eBook ISBN: 978-981-15-3287-0Published: 04 April 2020
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: IX, 224
Number of Illustrations: 54 b/w illustrations, 77 illustrations in colour
Topics: Computational Intelligence, Signal, Image and Speech Processing, Artificial Intelligence
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