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  • Conference proceedings
  • © 2020

Soft Computing for Problem Solving

SocProS 2018, Volume 2

  • 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

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1057)

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Table of contents (83 papers)

  1. Front Matter

    Pages i-xviii
  2. Optimization of Parking Lot Area in Smart Cities Using Game Theory

    • R. Padma Priya, Saumya Bakshi
    Pages 21-33
  3. Prediction of Flashover Voltage on 11 kV Composite Insulator Using Kernel Support Vector Machine

    • K. Kumar, B. Vigneshwaran, K. Vishnu Priya, T. Sreevidya Chidambara Vadivoo
    Pages 43-54
  4. Analysis of Human Error of EHS in Healthcare Industry Using TISM

    • R. K. A. Bhalaji, S. Bathrinath, Chitrasen Samantra, S. Saravanasankar
    Pages 55-66
  5. Crowdsourcing Advent to Optimize Supply Chain Network in Rural India

    • Chandra Kant Upadhyay, Vijayshri Tiwari, Vineet Tiwari, B. Pandiya
    Pages 77-90
  6. Role of Cloud Forensics in Cloud Computing

    • Shaik Khaja Mohiddin, Yalavarthi Suresh Babu
    Pages 91-107
  7. Hydromagnetic Squeeze Film in a Longitudinally Rough Conducting Conical Plates

    • Jatinkumar V. Adeshara, M. B. Prajapati, G. M. Deheri, R. M. Patel
    Pages 109-120
  8. GPU Computing for Compute-Intensive Scientific Calculation

    • Sandhya Parasnath Dubey, M. Sathish Kumar, S. Balaji
    Pages 131-140
  9. Comprehensive Study on Diabetic Retinopathy

    • R. S. Rajkumar, A. Grace Selvarani, S. Ranjithkumar
    Pages 155-163
  10. Study of Squeeze Film in a Ferrofluid Lubricated Longitudinally Rough Rotating Plates

    • Hardik P. Patel, G. M. Deheri, R. M. Patel
    Pages 207-217

About this book

This two-volume book presents the outcomes of the 8th International Conference on Soft Computing for Problem Solving, SocProS 2018. This conference was a joint technical collaboration between the Soft Computing Research Society, Liverpool Hope University (UK), and Vellore Institute of Technology (India), and brought together researchers, engineers and practitioners to discuss thought-provoking developments and challenges in order to select potential future directions. The book highlights the latest advances and innovations in the interdisciplinary areas of soft computing, including original research papers on 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 offers a valuable resource for both young and experienced researchers dealing with complex and intricate real-world problems that are difficult to solve using traditional methods.

Editors and Affiliations

  • Department of Mathematics, National Institute of Technology Silchar, Silchar, India

    Kedar Nath Das

  • Department of Mathematics, South Asian University, New Delhi, India

    Jagdish Chand Bansal

  • Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India

    Kusum Deep

  • Department of Mathematics, Faculty of Science, Liverpool Hope University, Liverpool, UK

    Atulya K. Nagar

  • School of Electrical Engineering, VIT University, Vellore, India

    Ponnambalam Pathipooranam, Rani Chinnappa Naidu

About the editors

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 research papers in prominent national and international journals. His chief area of interest is in evolutionary and bio-inspired algorithms for optimization.

Dr. Jagdish Chand Bansal is an Associate 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. Further, he has published numerous research papers in respected international and national journals.

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 hera central international figure in the areas of nature-inspired optimization techniques, genetic algorithms and particle swarm 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. He received a prestigious Commonwealth Fellowship for pursuing his doctorate (DPhil) in Applied Non-Linear Mathematics, which he earned from the University of York (UK) in 1996; and he holds BSc (Hons.), MSc, and MPhil (with Distinction) from the MDS University of Ajmer, India.

Prof. P. Ponnambalam is an Associate Professor at the School of Electrical Engineering, VIT University, India. His areas of research interests are Multilevel Converters, Fuzzy controller for multilevel converters, MPC controllers, Thermoelectric Generators for Solar Photo voltaic cells areas in which he is actively publishing. He is having 15 years of teaching experience.

Prof. Rani Chinnappa Naidu received the B.Eng. and M.Tech. degrees from VIT University, Vellore, India, and Ph.D. degree from Northumbria University, Newcastle upon Tyne, UK., all in Electrical Engineering. After that, she joined as a Postdoctoral Researcher in Northumbria Photovoltaic Applications Centre, Northumbria University, UK. She is currently an Associate Professor at VIT University. She is an Senior member in IEEE. She leads an appreciable number of research groups and projects in the areas such as solar photovoltaic, wind energy, power generation dispatch, power system optimization, and artificial intelligence techniques.

 

 

Bibliographic Information

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access