© 2016

Nature-Inspired Computation in Engineering

  • Xin-She Yang

Part of the Studies in Computational Intelligence book series (SCI, volume 637)

Table of contents

  1. Front Matter
    Pages i-x
  2. Nunzia Palmieri, Salvatore Marano
    Pages 133-150
  3. Muhammad Sulaiman, Abdellah Salhi
    Pages 195-215
  4. Ali R. Al-Roomi, Mohamed E. El-Hawary
    Pages 217-250
  5. Manal Zettam, Bouazza Elbenani
    Pages 251-266
  6. Iztok Fister Jr., Uroš Mlakar, Xin-She Yang, Iztok Fister
    Pages 267-276

About this book


This timely review book summarizes the state-of-the-art developments in nature-inspired optimization algorithms and their applications in engineering. Algorithms and topics include the overview and history of nature-inspired algorithms, discrete firefly algorithm, discrete cuckoo search, plant propagation algorithm, parameter-free bat algorithm, gravitational search, biogeography-based algorithm, differential evolution, particle swarm optimization and others. Applications include vehicle routing, swarming robots, discrete and combinatorial optimization, clustering of wireless sensor networks, cell formation, economic load dispatch, metamodeling, surrogated-assisted cooperative co-evolution, data fitting and reverse engineering as well as other case studies in engineering. This book will be an ideal reference for researchers, lecturers, graduates and engineers who are interested in nature-inspired computation, artificial intelligence and computational intelligence. It can also serve as a reference for relevant courses in computer science, artificial intelligence and machine learning, natural computation, engineering optimization and data mining.



Bat Algorithm Bio-inspired Computation Computational Intelligence Nature-inspired Computation Swarm Intelligence

Editors and affiliations

  • Xin-She Yang
    • 1
  1. 1.School of Science and TechnologyMiddlesex UniversityLondonUnited Kingdom

Bibliographic information

  • Book Title Nature-Inspired Computation in Engineering
  • Editors Xin-She Yang
  • Series Title Studies in Computational Intelligence
  • Series Abbreviated Title Studies Comp.Intelligence
  • DOI
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-3-319-30233-1
  • Softcover ISBN 978-3-319-80757-7
  • eBook ISBN 978-3-319-30235-5
  • Series ISSN 1860-949X
  • Series E-ISSN 1860-9503
  • Edition Number 1
  • Number of Pages X, 276
  • Number of Illustrations 20 b/w illustrations, 34 illustrations in colour
  • Topics Computational Intelligence
    Artificial Intelligence
  • Buy this book on publisher's site