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© 2014

Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012

  • B. V. Babu
  • Atulya Nagar
  • Kusum Deep
  • Millie Pant
  • Jagdish Chand Bansal
  • Kanad Ray
  • Umesh Gupta
Conference proceedings

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 236)

Table of contents

  1. Front Matter
    Pages i-xxx
  2. Genetic Algorithm for Problem Solving (GAPS)

    1. Front Matter
      Pages 1-1
    2. Balwinder Singh Dhaliwal, Shyam S. Pattnaik
      Pages 25-30
    3. Javier Carnero, Hepzibah A. Christinal, Daniel D́ iaz-Pernil, Rául Reina-Molina, M. S. P. Subathra
      Pages 75-82
  3. Soft Computing for Mathematics and Optimization (SCMO)

    1. Front Matter
      Pages 113-113
    2. Nilkanta Modak, Animesh Biswas
      Pages 125-135
    3. Roli Bansal, Hina Agrawal, Hifza Afaq, Sanjay Saini
      Pages 137-143
    4. Anil Kumar Nishad, Shailendra Kumar Bharati, S. R. Singh
      Pages 151-159

About these proceedings

Introduction

The present book is based on the research papers presented in the International Conference on Soft Computing for Problem Solving (SocProS 2012), held at JK Lakshmipat University, Jaipur, India. This book provides the latest developments in the area of soft computing and covers a variety of topics, including mathematical modeling, image processing, optimization, swarm intelligence, evolutionary algorithms, fuzzy logic, neural networks, forecasting, data mining, etc. The objective of the book is to familiarize the reader with the latest scientific developments that are taking place in various fields and the latest sophisticated problem solving tools that are being developed to deal with the complex and intricate problems that are otherwise difficult to solve by the usual and traditional methods. The book is directed to the researchers and scientists engaged in various fields of Science and Technology.

Keywords

Artificial Neural Network Computational Intelligence Data Mining and Clustering Evolutionary Algorithms Fuzzy Logic Particle Swarm Optimization SocProS 2012 Soft Computing Wireless Sensor Networks

Editors and affiliations

  • B. V. Babu
    • 1
  • Atulya Nagar
    • 2
  • Kusum Deep
    • 3
  • Millie Pant
    • 4
  • Jagdish Chand Bansal
    • 5
  • Kanad Ray
    • 6
  • Umesh Gupta
    • 7
  1. 1.Institute of Engineering and TechnologyJK Lakshmipat UniversityJaipurIndia
  2. 2.Department of Computer ScienceLiverpool Hope UniversityLiverpoolUnited Kingdom
  3. 3.Department of MathematicsIndian Institute of Technology RoorkeeRoorkeeIndia
  4. 4.Department of Paper TechnologyIndian Institute of Technology RoorkeeRoorkeeIndia
  5. 5.Department of Applied MathematicsSouth Asian UniversityNew DelhiIndia
  6. 6.Institute of Engineering and TechnologyJK Lakshmipat UniversityJaipurIndia
  7. 7.Institute of Engineering and TechnologyJK Lakshmipat UniversityJaipurIndia

About the editors

Dr. B.V. Babu is currently the Pro Vice Chancellor of DIT University, Dehradun. Earlier he was the Director of IET at JK Lakshmipat University and prior to that he was with BITS Pilani. He has over 28 years of teaching, research, consultancy, and administrative experience. He did his PhD from IIT Bombay. He held various administrative positions such as Dean of various divisions during over 15 years of his tenure at BITS Pilani. His research interests include Evolutionary Computation, Environmental Engineering, Biomass Gasification, Energy Integration, Artificial Neural Networks, Nanotechnology, and Modeling and Simulation. He is Editorial Board member of 6 International Journals, has published 6 books, and has around 220 research publications in international and national journals and conference proceedings.

Prof. Atulya K. Nagar holds the Foundation Chair, as Professor and Head of Mathematics and Computer Science at Liverpool Hope University. He is an internationally recognised scholar working at the cutting edge of theoretical computer science, natural computing, applied mathematical analysis, operations research, and systems engineering and his work is underpinned by strong complexity-theoretic foundations. He received a prestigious Commonwealth Fellowship for pursuing his Doctorate (DPhil) in Applied Non-Linear Mathematics, which he earned from the University of York in 1996. He holds BSc (Hons.), MSc, and MPhil (with Distinction) from the MDS University of Ajmer, India.

Dr. Kusum Deep is a full Professor with the Department of Mathematics, Indian Institute of Technology Roorkee, India. She earned her PhD from IIT Roorkee in 1988 and carried out Post Doctoral Research at Loughborough University, UK during 1993-94. She has co-authored a book entitled "Optimization Techniques" and has 75 research publications in refereed International Journals and 60 research papers in International/National Conferences. She is on the editorial board of a number of International and National Journals. She is the Founder President of Soft Computing Research Society, India and the secretary of Forum of Interdisciplinary Mathematics. Her areas of specialization are numerical optimization and their applications to engineering, science and industry.

Dr. Millie Pant is an Associate Professor in the Department of Applied Science and Engineering, Saharanpur Campus of IIT Roorkee. She did her PhD from mathematics department of IIT Roorkee. She has supervised 5 PhD theses and at present four PhD students are working under her guidance. She has to her credit more than 100 research papers in various journals and conferences of national and international repute. Also she has completed sponsored projects of DST and MHRD. Dr. Millie Pant is a member of editorial board of 'Int. J. of Mathematical Modeling, Simulation and Applications' and an executive editor of International Journal of Swarm Intelligence (IJSI).

Dr. Jagdish Chand Bansal is an Assistant Professor at South Asian University New Delhi. Dr. Bansal has obtained his PhD in Mathematics from IIT Roorkee. He is the Editor-in-Chief of “International Journal of Swarm Intelligence (IJSI)” published by Inderscience. His Primary area of interest is Nature Inspired Optimization Techniques. He has published 42 research papers in various international journals/conferences.

Dr. Kanad Ray is Associate Professor in Physics at Institute of Engineering and Technology of JK Lakshmipat University, Jaipur. He obtained his Doctoral Degree in Physics from Jadavpur University, Kolkata. In his academic career spanning over 19 years, he has published and presented research papers in several national and international journals and conferences in India and abroad. He has authored a book on Electromagnetic Field Theory. Dr Ray's current research areas of interest include applied physics, communication and cognitive neurodynamics.

Dr. Umesh Gupta is working as Associate Professor in Mathematics at Institute of Engineering and Technology of JK Lakshmipat University, Jaipur. He has 13 years of teaching and research experience. He did his PhD from University of Rajasthan. His areas of research are Fluid Mechanics, Optimization and Statistics. He has number of research publications in International & National Journals & Conference Proceedings to his credit. He has authored textbooks on Engineering Mathematics and Research Methods in Management. He has presented his papers in various conferences held in India and abroad.

Bibliographic information

  • Book Title Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012
  • Editors B. V. Babu
    Atulya Nagar
    Kusum Deep
    Millie Pant
    Jagdish Chand Bansal
    Kanad Ray
    Umesh Gupta
  • Series Title Advances in Intelligent Systems and Computing
  • Series Abbreviated Title Advs in Intelligent Syst., Computing
  • DOI https://doi.org/10.1007/978-81-322-1602-5
  • Copyright Information Springer India 2014
  • Publisher Name Springer, New Delhi
  • eBook Packages Engineering Engineering (R0)
  • Softcover ISBN 978-81-322-1601-8
  • eBook ISBN 978-81-322-1602-5
  • Series ISSN 2194-5357
  • Series E-ISSN 2194-5365
  • Edition Number 1
  • Number of Pages XXX, 1604
  • Number of Illustrations 557 b/w illustrations, 0 illustrations in colour
  • Topics Computational Intelligence
    Signal, Image and Speech Processing
    Algorithm Analysis and Problem Complexity
  • Buy this book on publisher's site
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