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  • Conference proceedings
  • © 2013

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

Volume 1

  • 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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  • ISBN: 978-81-322-1038-2
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  • 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)

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Table of contents (46 papers)

  1. Constructive Solid Geometry Based Topology Optimization Using Evolutionary Algorithm

    • Faez Ahmed, Bishakh Bhattacharya, Kalyanmoy Deb
    Pages 227-238
  2. Array P Systems with Hybrid Teams

    • P. Helen Chandra, S.M. Saroja Theerdus Kalavathy
    Pages 239-249
  3. An Approach for the Ordering of Evaluation of Objectives in Multiobjective Optimization

    • Preeti Gupta, Sanghamitra Bandyopadhyay, Ujjwal Maulik
    Pages 251-262
  4. Extended Forma: Analysis and an Operator Exploiting it

    • C. Dharmani Bhaveshkumar
    Pages 263-274
  5. Incorporating Great Deluge with Harmony Search for Global Optimization Problems

    • Mohammed Azmi Al-Betar, Osama Nasif Ahmad, Ahamad Tajudin Khader, Mohammed A. Awadallah
    Pages 275-286
  6. Boundary Handling Approaches in Particle Swarm Optimization

    • Nikhil Padhye, Kalyanmoy Deb, Pulkit Mittal
    Pages 287-298
  7. Diversity Measures in Artificial Bee Colony

    • Harish Sharma, Jagdish Chand Bansal, K. V. Arya
    Pages 299-314
  8. Digital Video Watermarking Using Scene Detection

    • Dinesh Tiwari, K. V. Arya, Mukesh Saraswat
    Pages 315-323
  9. Self Adaptive Acceleration Factor in Particle Swarm Optimization

    • Shimpi Singh Jadon, Harish Sharma, Jagdish Chand Bansal, Ritu Tiwari
    Pages 325-340
  10. Reversible OR Logic Gate Design Using DNA

    • Pradipta Roy, Debarati Dey, Swati Sinha, Debashis De
    Pages 355-366
  11. Algorithmic Tile Self-assembly Model for the Minimum Dominating Set Problem

    • Zhen Cheng, Jianhua Xiao, Yufang Huang
    Pages 379-390
  12. Semantic Sub-tree Crossover Operator for Postfix Genetic Programming

    • Vipul K. Dabhi, Sanjay Chaudhary
    Pages 391-402
  13. Exploration Enhanced Particle Swarm Optimization using Guided Re-Initialization

    • Karan Kumar Budhraja, Ashutosh Singh, Gaurav Dubey, Arun Khosla
    Pages 403-416
  14. Using Firefly Algorithm to Solve Resource Constrained Project Scheduling Problem

    • Pejman Sanaei, Reza Akbari, Vahid Zeighami, Sheida Shams
    Pages 417-428
  15. Ant Colony-based System for Retinal Blood Vessels Segmentation

    • Ahmed. H. Asad, Ahmad Taher Azar, Aboul Ella Hassaanien
    Pages 441-452
  16. An Efficient Neural Network Based Background Subtraction Method

    • Naveen Kumar Rai, Shikha Chourasia, Amit Sethi
    Pages 453-460
  17. JustThink: Smart BCI Applications

    • Rabie A. Ramadan, Ahmed Ezzat AbdElGawad, Mohammed Alaa
    Pages 461-472

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.

Keywords

  • Artificial Neural Network
  • BIC-TA 2012
  • Computational Intelligence
  • Evolutionary Algorithms
  • Nature/Bio-inspired Computing
  • Soft Computing

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

Buying options

eBook USD 219.00
Price excludes VAT (USA)
  • ISBN: 978-81-322-1038-2
  • 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)