Advances in Intelligent Systems and Computing

Soft Computing for Problem Solving

SocProS 2017, Volume 1

Editors: Bansal, J.C., Das, K.N., Nagar, A., Deep, K., Ojha, A.K. (Eds.)

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  • Presents the latest research in the field of soft computing
  • Investigates potential applications employing recent advances
  • Encourages practitioners/researchers to enhance their problem-solving abilities using optimization
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About this book

This two-volume book presents outcomes of the 7th International Conference on Soft Computing for Problem Solving, SocProS 2017. This conference is a joint technical collaboration between the Soft Computing Research Society, Liverpool Hope University (UK), the Indian Institute of Technology Roorkee, the South Asian University New Delhi and the National Institute of Technology Silchar, and brings together researchers, engineers and practitioners to discuss thought-provoking developments and challenges in order to select potential future directions The book presents the latest advances and innovations in the interdisciplinary areas of soft computing, including original research papers in the areas including, but not limited to, algorithms (artificial immune systems, artificial neural networks, genetic algorithms, genetic programming, and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). It is a valuable resource for both young and experienced researchers dealing with complex and intricate real-world problems for which finding a solution by traditional methods is a difficult task.

About the authors

Dr. Jagdish Chand Bansal is an Assistant Professor at the South Asian University, New Delhi, India and visiting research fellow at Liverpool Hope University, Liverpool UK. He has an excellent academic record and is a leading researcher in the field of swarm intelligence and 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’. He has published several research papers in prominent national and international journals. His chief area of interest is in evolutionary and bio-inspired algorithms for optimization.

Prof. Atulya Nagar holds the Foundation Chair as Professor of Mathematical Sciences and is Dean of the Faculty of Science at Liverpool Hope University, UK. Prof. Nagar is an internationally respected scholar working at the cutting edge of theoretical computer science, applied mathematical analysis, operations research, and systems engineering.

Prof. Kusum Deep is a Professor at the Department of Mathematics, Indian Institute of Technology Roorkee, India. Over the past 25 years, her research has made her a central international figure in the area of nature-inspired optimization techniques, genetic algorithms and particle swarm optimization.

Dr. Akshay Kumar Ojha is Associate Professor at the School of Basic Sciences, Indian Institute of Technology, Bhubaneswar, Odisha, India. He completed his B.Sc., M.Sc., and Ph.D. at Utkal University in 1978, 1980, and 1997, respectively. His research interest areas are geometric programming, artificial neural networks, genetic algorithms, particle swarm optimization, fractional programming, nonlinear optimization, data analysis and optimization, and portfolio optimization. Dr. Ojha has 34 years of experience and has published over 30 journal articles and 6 books.

Table of contents (77 chapters)

Table of contents (77 chapters)
  • Power Distribution Network Reconfiguration Using an Improved Sine–Cosine Algorithm-Based Meta-Heuristic Search

    Pages 1-13

    Raut, Usharani (et al.)

  • Artificial Neural Network for Strength Prediction of Fibers’ Self-compacting Concrete

    Pages 15-24

    Meesaraganda, L. V. Prasad (et al.)

  • Using Chaos in Grey Wolf Optimizer and Application to Prime Factorization

    Pages 25-43

    Mehrotra, Harshit (et al.)

  • On the Consecutive Customer Loss Probabilities in a Finite-Buffer Renewal Batch Input Queue with Different Batch Acceptance/Rejection Strategies Under Non-renewal Service

    Pages 45-62

    Banik, A. D. (et al.)

  • Fuzzy Enhancement for Efficient Emotion Detection from Facial Images

    Pages 63-77

    Bhattacherjee, Payal (et al.)

Buy this book

eBook $229.00
price for USA in USD
  • ISBN 978-981-13-1592-3
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • Immediate eBook download after purchase and usable on all devices
  • Bulk discounts available
Softcover $299.99
price for USA in USD
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Bibliographic Information

Bibliographic Information
Book Title
Soft Computing for Problem Solving
Book Subtitle
SocProS 2017, Volume 1
Editors
  • Jagdish Chand Bansal
  • Kedar Nath Das
  • Atulya Nagar
  • Kusum Deep
  • Akshay Kumar Ojha
Series Title
Advances in Intelligent Systems and Computing
Series Volume
816
Copyright
2019
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-13-1592-3
DOI
10.1007/978-981-13-1592-3
Softcover ISBN
978-981-13-1591-6
Series ISSN
2194-5357
Edition Number
1
Number of Pages
XVII, 975
Number of Illustrations
93 b/w illustrations, 302 illustrations in colour
Topics