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Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012)

Volume 1

  • Conference proceedings
  • © 2013

Overview

Editors:
  1. Jagdish Chand Bansal

    1. South Asian University, New Delhi, India

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  2. Pramod Kumar Singh

    1. ABV - IIITM, Gwalior, Gwalior, India

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  3. Kusum Deep

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

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  4. Millie Pant

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

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  5. Atulya K. Nagar

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

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  • Provides a rich and authentic literature in the area of computational intelligence
  • Discusses wide variety of industrial, engineering and scientific applications of nature/bio-inspired computing
  • Presents invited papers from the inventors/originators of novel computational techniques
  • Includes supplementary material: sn.pub/extras

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 201)

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Table of contents (46 papers)

  1. Front Matter

    Pages i-xix
    Download chapter PDF

  2. Stochastic Algorithms for 3D Node Localization in Anisotropic Wireless Sensor Networks

    • Anil Kumar, Arun Khosla, Jasbir Singh Saini, Satvir Singh
    Pages 1-14

  3. An Evaluation of Classification Algorithms Using Mc Nemar’s Test

    • Betul Bostanci, Erkan Bostanci
    Pages 15-26

  4. Permitting Features in P Systems Generating Picture Arrays

    • K.G. Subramanian, Ibrahim Venkat, Linqiang Pan, Atulya K Nagar
    Pages 27-38

  5. An ACO Framework for Single Track Railway Scheduling Problem

    • G. S. Raghavendra , N Prasanna Kumar
    Pages 39-51

  6. Bio-Inspired Soft-Computational Framework for Speech and Image Application

    • Dipjyoti Sarma, Kandarpa Kumar Sarma
    Pages 53-64

  7. Leukocyte Classification in Skin Tissue Images

    • Mukesh Saraswat, K. V. Arya
    Pages 65-73

  8. Solving Application Oriented Graph Theoretical Problems with DNA Computing

    • Veronika Halász, László Hegedüs, István Hornyák, Benedek Nagy
    Pages 75-85

  9. Human Identification Using Heartbeat Interval Features and ECG Morphology

    • Yogendra Narain Singh, Sanjay Kumar Singh
    Pages 87-98

  10. Improved Real-Time Discretize Network Intrusion Detection System

    • Heba F Eid, Ahmad Taher Azar, Aboul Ella Hassanien
    Pages 99-109

  11. Identification and Impact Assessment of High-Priority Field Failures in Passenger Vehicles Using Evolutionary Optimization

    • Abhinav Gaur, Sunith Bandaru, Vineet Khare, Rahul Chougule, Kalyanmoy Deb
    Pages 111-122

  12. Automatic Agricultural Leaves Recognition System

    • Meenakshi, Durga Puja, Mukesh Saraswat, K. V. Arya
    Pages 123-131

  13. Non-Uniform Mapping in Binary-Coded Genetic Algorithms

    • Kalyanmoy Deb, Yashesh D. Dhebar, N. V. R. Pavan
    Pages 133-144

  14. Control Words of Transition P Systems

    • Ajeesh Ramanujan, Kamala Krithivasan
    Pages 145-155

  15. Iso-Array Splicing Grammar System

    • D.K. Sheena Christy, V. Masilamani, D.G. Thomas
    Pages 157-167

  16. GA based Dimension Reduction for enhancing performance of k-Means and Fuzzy k-Means: A Case Study for Categorization of Medical Dataset

    • Asha Gowda Karegowda, M.A. Jayaram, A.S. Manjunath, T. Vidya, Shama
    Pages 169-180

  17. A Computational Intelligence based Approach to Telecom Customer Classification for Value Added Services

    • Abhay Bhadani, Ravi Shankar, D. Vijay Rao
    Pages 181-192

  18. An Efficient Approach on Rare Association Rule Mining

    • N. Hoque, B. Nath, D. K. Bhattacharyya
    Pages 193-203

  19. A Hybrid Multiobjective Particle Swarm Optimization Approach for Non-redundant Gene Marker Selection

    • Anirban Mukhopadhyay, Monalisa Mandal
    Pages 205-216

  20. Application of High Quality Amino Acid Indices to AMS 3.0: A Update Note

    • Indrajit Saha, Ujjwal Maulik, Dariusz Plewczynski
    Pages 217-225
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Keywords

About this book

The book is a collection of high quality peer reviewed research papers presented in Seventh International Conference on Bio-Inspired Computing (BIC-TA 2012) held at ABV-IIITM Gwalior, India. These research papers provide the latest developments in the broad area of "Computational Intelligence". The book discusses wide variety of industrial, engineering and scientific applications of nature/bio-inspired computing and presents invited papers from the inventors/originators of novel computational techniques.

Editors and Affiliations

  • South Asian University, New Delhi, India

    Jagdish Chand Bansal

  • ABV - IIITM, Gwalior, Gwalior, India

    Pramod Kumar Singh

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

    Atulya K. Nagar

About the editors

Dr. Jagdish Chand Bansal is an Assistant Professor with the South Asian University New Delhi, India. Holding an excellent academic record, he is a budding researcher in the field of Swarm Intelligence at the International Level.

Dr. Pramod Kumar Singh is an Associate Professor with the ABV-Indian Institute of Information Technology and Management, Gwalior, India. He is an active researcher and has earned a reputation in the areas of Nature-Inspired Computing, Multi-/Many-Objective Optimization, and Data Mining.

Dr. Kusum Deep is a Professor with 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 Bio-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. At this age, she has earned a remarkable International reputation in the area of Genetic Algorithms, Differential Algorithms and Swarm Intelligence.

Prof. Atulya Nagar is the Professor and Head of Department of Mathematics and Computer Science at Liverpool Hope University, Liverpool, UK.  Prof. Nagar is an internationally recognized 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.

Bibliographic Information

  • Book Title: Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012)

  • Book Subtitle: Volume 1

  • Editors: Jagdish Chand Bansal, Pramod Kumar Singh, Kusum Deep, Millie Pant, Atulya K. Nagar

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-81-322-1038-2

  • Publisher: Springer New Delhi

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer India 2013

  • Softcover ISBN: 978-81-322-1037-5Published: 04 December 2012

  • eBook ISBN: 978-81-322-1038-2Published: 04 December 2012

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: XIX, 556

  • Number of Illustrations: 202 b/w illustrations

  • Topics: Computational Intelligence, Artificial Intelligence, Data Mining and Knowledge Discovery

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