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Proceedings of Fourth International Conference on Soft Computing for Problem Solving

SocProS 2014, Volume 1

  • Conference proceedings
  • © 2015

Overview

Editors:
  1. Kedar Nath Das

    1. Mathematics, National Institute of Technology Silchar, Silchar, India

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  2. Kusum Deep

    1. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India

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  3. Millie Pant

    1. Department of Paper Technology, Indian Institute of Technology Roorkee, Roorkee, India

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  4. Jagdish Chand Bansal

    1. Department of Mathematics, South Asian University, New Delhi, India

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  5. Atulya Nagar

    1. Department of Computer Science, Liverpool Hope University, Liverpool, United Kingdom

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  • Presents rich and authentic literature in the area of computational intelligence
  • Discussions on wide variety of industrial, engineering and scientific applications of bio-inspired 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 335)

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About this book

The Proceedings of SocProS 2014 serves 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 is 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 Healthcare, Networking Optimization Problems, etc.

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Keywords

Table of contents (50 papers)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. Solving 0/1 Knapsack Problem Using Hybrid TLBO-GA Algorithm

    • A. J. Umbarkar, P. D. Sheth, S. V. Babar
    Pages 1-10

  3. Cluster Head Selection Using Modified ACO

    • Varsha Gupta, Shashi Kumar Sharma
    Pages 11-20

  4. Application of Artificial Intelligence Methods to Spot Welding of Commercial Aluminum Sheets (B.S. 1050)

    • Biranchi Narayan Panda, M. V. A. Raju Babhubalendruni, B. B. Biswal, Dheerendra Singh Rajput
    Pages 21-32

  5. A Fuzzy Multi-criteria Decision-making Model for Green Electrical Discharge Machining

    • Jagadish, Amitava Ray
    Pages 33-43

  6. Two-Warehouse Reverse Logistic Inventory Model for Deteriorating Item under Learning Effect

    • S. R. Singh, Himanshu Rathore
    Pages 45-57

  7. An Integrated Approach of Logarithmic Transformation and Histogram Equalization for Image Enhancement

    • Saurabh Chaudhury, Sudhankar Raw, Abhradeep Biswas, Abhshek Gautam
    Pages 59-70

  8. Genetic Algorithms, a Nature-Inspired Tool: Review of Applications in Supply Chain Management

    • Sunil Kumar Jauhar, Millie Pant
    Pages 71-86

  9. Data Mining in Market Segmentation: A Literature Review and Suggestions

    • Saibal Dutta, Sujoy Bhattacharya, Kalyan Kumar Guin
    Pages 87-98

  10. Cuckoo Search Optimization for Job Shop Scheduling Problem

    • Shekhar Singh, Krishna Pratap Singh
    Pages 99-111

  11. Artificial Neural Network Technique for Solution of Nonlinear Elliptic Boundary Value Problems

    • Neha Yadav, Anupam Yadav, Kusum Deep
    Pages 113-121

  12. Scene Classification Using Fuzzy Uncertainty Texture Spectrum

    • N. P. Rath, Swastika Mishra, Neeharika Naik
    Pages 123-134

  13. Parikh Matrices and Words Over Ternary Alphabet

    • Amrita Bhattacharjee, Bipul Syam Purkayastha
    Pages 135-145

  14. Neuro-genetic Approach to Predict Scour Depth Around Vertical Bridge Abutment

    • Abul Kashim Md Fujail, Shahin Ara Begum, Abdul Karim Barbhuiya
    Pages 147-157

  15. Rough Fuzzy Classification for Class Imbalanced Data

    • Riaj Uddin Mazumder, Shahin Ara Begum, Devajyoti Biswas
    Pages 159-171

  16. Mind Reading by Face Recognition Using Security Enhancement Model

    • Vranda Vyas, Sameer Saxena, Deepshikha Bhargava
    Pages 173-180

  17. Enhancement of Power Transfer Capability of HVDC Transmission System Using Fuzzy Logic Controller

    • M. Ramesh, A. Jaya Laxmi
    Pages 181-196

  18. Optimization of Clustering in SPIN-C and LEACH for Data Centric Wireless Sensor Networks

    • Ashutosh Tripathi, Narendra Yadav, Reena Dadhich
    Pages 197-205

  19. Application of Genetic Algorithm in Optimization of Hydrodynamic Bearings

    • L. Roy, S. K. Kakoty
    Pages 207-217

  20. Diversity-Based Dual-Population Genetic Algorithm (DPGA): A Review

    • A. J. Umbarkar, M. S. Joshi, P. D. Sheth
    Pages 219-229
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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

  • Department of Mathematics, 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

  • Book Title: Proceedings of Fourth International Conference on Soft Computing for Problem Solving

  • Book Subtitle: SocProS 2014, Volume 1

  • Editors: Kedar Nath Das, Kusum Deep, Millie Pant, Jagdish Chand Bansal, Atulya Nagar

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-81-322-2217-0

  • Publisher: Springer New Delhi

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer India 2015

  • Softcover ISBN: 978-81-322-2216-3Published: 14 January 2015

  • eBook ISBN: 978-81-322-2217-0Published: 24 December 2014

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: XIII, 634

  • Number of Illustrations: 278 b/w illustrations

  • Topics: Computational Intelligence, Signal, Image and Speech Processing, Artificial Intelligence

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