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  • © 2019

Advances in Nature-Inspired Computing and Applications

  • Exhaustive coverage on nature-inspired computing and applications
  • Provides a comprehensive, critical and descriptive examination of all facets of nature-inspired algorithms and naturally-intelligent machines
  • Focuses on the current research while highlighting the empirical results along with theoretical concept

Part of the book series: EAI/Springer Innovations in Communication and Computing (EAISICC)

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-xvi
  2. Optimizing Resource Allocation of Wireless Networks with Carrier Aggregation Using Evolutionary Programming

    • Marcus Vinícius Gonzaga Ferreira, Flávio Henrique Teles Vieira
    Pages 27-41
  3. Application of Nature—Inspired Algorithms in Medical Image Processing

    • S. Kanimozhi Suguna, R. Ranganathan, J. Sangeetha, Smita Shandilya, Shishir Kumar Shandilya
    Pages 61-100
  4. Firefly Algorithm Applied to the Estimation of the Parameters of a Photovoltaic Panel Model

    • Ricardo Augusto Pereira Franco, Gilberto Lopes Filho, Flávio Henrique Teles Vieira
    Pages 101-134
  5. Realization of PSO-Based Adaptive Beamforming Algorithm for Smart Antennas

    • Rathindra Nath Biswas, Anurup Saha, Swarup Kumar Mitra, Mrinal Kanti Naskar
    Pages 135-163
  6. A Comparison of Bio-Inspired Approaches for the Cluster-Head Selection Problem in WSN

    • Karen Miranda, Saúl Zapotecas-Martínez, Antonio López-Jaimes, Abel García-Nájera
    Pages 165-187
  7. Modified Krill Herd Algorithm for Global Numerical Optimization Problems

    • Laith Mohammad Abualigah, Ahamad Tajudin Khader, Essam Said Hanandeh
    Pages 205-221
  8. Application of Nature-Inspired Optimization Techniques in Vessel Traffic Control

    • Ž. Kanović, V. Bugarski, T. Bačkalić, F. Kulić
    Pages 223-252
  9. A Computational Physics-Based Algorithm for Target Coverage Problems

    • Jordan Barry, Christopher Thron
    Pages 269-290
  10. Modeling of Service Discovery Over Wireless Mesh Networks

    • Lungisani Ndlovu, Okuthe P. Kogeda, Manoj Lall
    Pages 313-343
  11. Back Matter

    Pages 345-349

About this book

This book contains research contributions from leading global scholars in nature-inspired computing. It includes comprehensive coverage of each respective topic, while also highlighting recent and future trends. The contributions provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application. This book has focus on the current researches while highlighting the empirical results along with theoretical concepts to provide a comprehensive reference for students, researchers, scholars, professionals and practitioners in the field of Advanced Artificial Intelligence, Nature-Inspired Algorithms and Soft Computing.


Editors and Affiliations

  • VIT Bhopal University, Bhopal, India

    Shishir Kumar Shandilya

  • Sagar Institute of Research, Technology and Science, Bhopal, India

    Smita Shandilya

  • Liverpool Hope University, Liverpool, UK

    Atulya K. Nagar

About the editors

Dr. Shishir K. Shandilya is a renowned academician and active researcher with proven record of teaching and research. He is Cambridge University Certified Professional Teacher and Trainer, Senior Member of IEEE-USA and also elected as an executive member of IEEE Industry-Outreach Committee-India. Dr. Shandilya has received “IDA Teaching Excellence Award” for distinctive use of Technology in Teaching by Indian Didactics Association, Bangalore (2016) and “Young Scientist Award” for consecutive two years (2005 & 2006) by Indian Science Congress & MP Council of Science & Technology. He has written seven books of international-fame (published in USA, Denmark and India) and published over 50 quality research papers. He is an active member of various international professional bodies.

Smita Shandilya (Senior Member-IEEE) is an eminent scholar and researcher. She has over 20 quality research papers to her credits. She has delivered several invited talks in national seminars of high repute. Her research interests are Power System Planning and Smart Micro Grids. She is also involved in the establishment of Energy Lab in the Institute (first in any Private Institute in M.P.), and Establishment of Training cum Incubator centre in Collaboration with iEnergy Pvt. Ltd.

Atulya K. Nagar holds the Foundation Chair as Professor of Mathematical Sciences and is Dean of the Faculty of Science at Liverpool Hope University, UK; he has been the Head of Department of Mathematics and Computer Science which he established at the University. Professor Nagar is an internationally respected scholar working at the cutting edge of theoretical computer science, applied mathematical analysis, operations research, and systems engineering. He received a prestigious Commonwealth Fellowship for pursuing his doctorate (DPhil) in Applied Non-Linear Mathematics, which he earned from the University of York (UK) in 1996; and he holds BSc (Hons.),MSc, and MPhil (with Distinction) in Mathematical Physics from the MDS University of Ajmer, India. Professor Nagar’s research expertise spans both Applied Mathematics and Computational Methods for nonlinear, complex and intractable problems arising in Science, Engineering, and Industry. In problems like these the effect is known, but the cause is not. In this approach of mathematics, also known as ‘Inverse Problems’, sophisticated mathematical modelling and computational algorithms are required to understand such behaviour.

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access