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© 2019

Advances in Nature-Inspired Computing and Applications

  • Shishir Kumar Shandilya
  • Smita Shandilya
  • Atulya K. Nagar

Benefits

  • 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

Book

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Marcus Vinícius Gonzaga Ferreira, Flávio Henrique Teles Vieira
    Pages 27-41
  3. S. Kanimozhi Suguna, R. Ranganathan, J. Sangeetha, Smita Shandilya, Shishir Kumar Shandilya
    Pages 61-100
  4. Ricardo Augusto Pereira Franco, Gilberto Lopes Filho, Flávio Henrique Teles Vieira
    Pages 101-134
  5. Rathindra Nath Biswas, Anurup Saha, Swarup Kumar Mitra, Mrinal Kanti Naskar
    Pages 135-163
  6. Karen Miranda, Saúl Zapotecas-Martínez, Antonio López-Jaimes, Abel García-Nájera
    Pages 165-187
  7. Laith Mohammad Abualigah, Ahamad Tajudin Khader, Essam Said Hanandeh
    Pages 205-221
  8. Ž. Kanović, V. Bugarski, T. Bačkalić, F. Kulić
    Pages 223-252
  9. Jordan Barry, Christopher Thron
    Pages 269-290
  10. Lungisani Ndlovu, Okuthe P. Kogeda, Manoj Lall
    Pages 313-343
  11. Back Matter
    Pages 345-349

About this book

Introduction

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 book focuses on the current research 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. Topics include Hybrid Bio-inspired Computing; Membrane Computing; Krill Herd Algorithm; Stochastic Optimization; Firefly Optimization Algorithm;Artificial Bee Colony Algorithm; Particle Swarm Optimization; Lion Optimization Algorithm; and Monkey Search Optimization.

• Presents complete coverage of nature-inspired computing and applications;

• Provides a comprehensive, critical and descriptive examination of all facetsof nature-inspired         algorithms  and naturally-intelligent machines;

• Fundamentals are emphasized throughout the book to provide strong basis for students.

Keywords

Nature-inspired computing Bio-inspired computing Intelligent algorithms Biologically Inspired Computing Nature-inspired algorithms Seed Based Plant Propagation Algorithm Optics Inspired Optimization (OIO) Vortex Search Algorithm Naturally intelligent machines Water Wave Optimization Chemical Reaction Algorithm

Editors and affiliations

  • Shishir Kumar Shandilya
    • 1
  • Smita Shandilya
    • 2
  • Atulya K. Nagar
    • 3
  1. 1.VIT Bhopal UniversityBhopalIndia
  2. 2.Sagar Institute of Research, Technology and ScienceBhopalIndia
  3. 3.Liverpool Hope UniversityLiverpoolUK

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

  • Book Title Advances in Nature-Inspired Computing and Applications
  • Editors Shishir Kumar Shandilya
    Smita Shandilya
    Atulya K. Nagar
  • Series Title EAI/Springer Innovations in Communication and Computing
  • Series Abbreviated Title EAI/Springer Innovations in Communication and Computing
  • DOI https://doi.org/10.1007/978-3-319-96451-5
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2019
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-3-319-96450-8
  • Softcover ISBN 978-3-030-07195-0
  • eBook ISBN 978-3-319-96451-5
  • Series ISSN 2522-8595
  • Series E-ISSN 2522-8609
  • Edition Number 1
  • Number of Pages XVI, 349
  • Number of Illustrations 28 b/w illustrations, 109 illustrations in colour
  • Topics Communications Engineering, Networks
    Computational Intelligence
    Artificial Intelligence
    Complexity
    Bioinformatics
  • Buy this book on publisher's site
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