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Overview
- Provides rich and authentic
- literature in the area of computational intelligence to help new
- Discusses latest findings on wide variety of industrial, engineering and scientific applications of soft computing
- Presents invited papers from the inventors/originators of computational techniques
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 437)
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About this book
The proceedings of SocProS 2015 will serve as an academic bonanza for scientists and researchers working in the field of Soft Computing. This book contains theoretical as well as practical aspects using fuzzy logic, neural networks, evolutionary algorithms, swarm intelligence algorithms, etc., with many applications under the umbrella of ‘Soft Computing’. The book will be beneficial for young as well as experienced researchers dealing across complex and intricate real world problems for which finding a solution by traditional methods is a difficult task.
The different application areas covered in the proceedings are: Image Processing, Cryptanalysis, Industrial Optimization, Supply Chain Management, Newly Proposed Nature Inspired Algorithms, Signal Processing, Problems related to Medical and Health Care, Networking Optimization Problems, etc.
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Keywords
Table of contents (87 papers)
Editors and Affiliations
About the editors
Dr. Millie Pant is an Associate Professor with the Department of Paper Technology, Indian Institute of Technology Roorkee, Roorkee, India. She has to her credit several research papers in journals of national and international repute and is a well-known figure in the field of Swarm Intelligence and Evolutionary Algorithms.
Prof. Kusum Deep is working as a full time professor in the Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India. Over the last 25 years, her research is increasingly well cited making her a central International figure in the area of Nature Inspired Optimization Techniques, Genetic Algorithms and Particle Swarm Optimization.
Dr. Jagdish Chand Bansal, is an Assistant Professor with the South Asian University, New Delhi, India. Holding an excellent academic record, he is an excellent researcher in the field of Swarm Intelligence at the National and International Level, having several research papers in journals of national and international repute.
Prof. Atulya Nagar holds the Foundation Chair as Professor of Mathematical Sciences and is the Dean of Faculty of Science, at Liverpool Hope University, Liverpool, UK. Prof. Nagar is an internationally recognised scholar working at the cutting edge of theoretical computer science, applied mathematical analysis, operations research, and systems engineering and his work is underpinned by strong complexity-theoretic foundations.
Dr. Kedar Nath Das is now working as Assistant Professor in the Department of Mathematics, National Institute of Technology Silchar, Assam, India. Over the last 10 years, he has a good contribution towards to research in ‘soft computing’. He has many papers to his credit in many journal in national and international level of repute. His area of interest is on Evolutionary and Bio-inspired algorithms for optimization.
Bibliographic Information
Book Title: Proceedings of Fifth International Conference on Soft Computing for Problem Solving
Book Subtitle: SocProS 2015, Volume 2
Editors: Millie Pant, Kusum Deep, Jagdish Chand Bansal, Atulya Nagar, Kedar Nath Das
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-981-10-0451-3
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Science+Business Media Singapore 2016
Softcover ISBN: 978-981-10-0450-6Published: 21 April 2016
eBook ISBN: 978-981-10-0451-3Published: 20 April 2016
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XIX, 1045
Number of Illustrations: 413 b/w illustrations
Topics: Computational Intelligence, Signal, Image and Speech Processing, Artificial Intelligence