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Advances in Nature-Inspired Computing and Applications

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

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

Bibliographic information

  • 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
  • Print ISBN 978-3-319-96450-8
  • Online ISBN 978-3-319-96451-5
  • Series Print ISSN 2522-8595
  • Series Online ISSN 2522-8609
  • Buy this book on publisher's site