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  • Conference proceedings
  • © 2015

Proceedings of Fourth International Conference on Soft Computing for Problem Solving

SocProS 2014, Volume 2

  • Presents rich and authentic literature in the area of computational intelligence

  • Discussions on wide variety of industrial, engineering and scientific applications of bioinspired computing

  • Invited papers from the inventors/originators of computational techniques for the readers to understand the key concepts

  • Includes supplementary material: sn.pub/extras

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 336)

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eBook USD 219.00
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  • ISBN: 978-81-322-2220-0
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Softcover Book USD 279.99
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Table of contents (54 papers)

  1. Differential Shuffled Frog-leaping Algorithm

    • Bhagyashri Naruka, Tarun Kumar Sharma, Millie Pant, Shweta Sharma, Jitendra Rajpurohit
    Pages 249-257
  2. Role of Particle Swarm Optimization in Computer Games

    • Garima Singh, Kusum Deep
    Pages 259-277
  3. Classification of Error-Correcting Coded Data Using Multidimensional Feature Vectors

    • Rajesh Asthana, Anand Sharma, Ram Ratan, Neelam Verma
    Pages 303-312
  4. Earthquake Data Sorting with Minimum Swap Operations

    • S. Kumar, R. Sushil
    Pages 357-361
  5. Hybrid Memetic Algorithm for FPGA Placement and Routing Using Parallel Genetic Tunneling

    • Rajesh Eswarawaka, S. K. Noor Mahammad, B. Eswara Reddy
    Pages 363-375
  6. An Add-on to Present Banking: m-banking

    • Parma Nand, Rani Astya, Anika, Dhananjaya Singh
    Pages 377-388
  7. Migration in Biogeography-based Optimization

    • Pushpa Farswan, Jagdish Chand Bansal
    Pages 389-401
  8. Gaussian Process Regression to Predict Incipient Motion of Alluvial Channel

    • Jaideep Sehrawat, Mahesh Patel, Bimlesh Kumar
    Pages 435-441
  9. Impact of Climate Change on Regionalization Using Fuzzy Clustering

    • Vivek Gupta, Manish Kumar Goyal
    Pages 455-462
  10. A Hybrid Performance Evaluation Approach for Supplier Selection Under Fuzzy Environment

    • Nidhi Bhayana, Simranjeet Kaur, P. C. Jha
    Pages 463-476

About this book

This two volume book is based on the research papers presented at the 4th International Conference on Soft Computing for Problem Solving (SocProS 2014)and covers a variety of topics, including mathematical modelling, image processing, optimization methods, swarm intelligence, evolutionary algorithms, fuzzy logic, neural networks, forecasting, medical and healthcare, data mining, etc. Mainly the emphasis is on Soft Computing and its applications in diverse areas. The prime objective of this book is to familiarize the reader with the latest scientific developments in various fields of Science, Engineering and Technology and is directed to the researchers and scientists engaged in various real-world applications of ‘Soft Computing’.

Keywords

  • Artificial Neural Network
  • Evolutionary Algorithms
  • Fuzzy Logic
  • Nature/Bio-inspired Computing
  • SocProS 2014
  • Soft Computing

Editors and Affiliations

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

    Kedar Nath Das

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

    Kusum Deep

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

    Millie Pant

  • South Asian University, New Delhi, India

    Jagdish Chand Bansal

  • Department of Computer Science, Liverpool Hope University, Liverpool, United Kingdom

    Atulya Nagar

About the editors

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 research in ‘soft computing’. He has many papers to his credit in many journals in national and international level of repute. His area of interest is Evolutionary and Bio-inspired algorithms for optimization.
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. 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.
Dr. Jagdish Chand Bansal is an Assistant Professor with 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.

Bibliographic Information

Buying options

eBook USD 219.00
Price excludes VAT (USA)
  • ISBN: 978-81-322-2220-0
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 279.99
Price excludes VAT (USA)