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Nature-Inspired Computation in Engineering

  • Book
  • © 2016

Overview

  • Provides a timely review and summary of the latest
  • developments of nature-inspired computation and their diverse applications in
  • Reviews both theoretical studies and applications
  • Focuses on diverse applications and detailed descriptions of algorithms and backgrounds
  • Includes supplementary material: sn.pub/extras

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

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Table of contents (13 chapters)

Keywords

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 serveas a reference for relevant courses in computer science, artificial intelligence and machine learning, natural computation, engineering optimization and data mining.

 

Editors and Affiliations

  • School of Science and Technology, Middlesex University, London, United Kingdom

    Xin-She Yang

Bibliographic Information

  • Book Title: Nature-Inspired Computation in Engineering

  • Editors: Xin-She Yang

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-319-30235-5

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2016

  • Hardcover ISBN: 978-3-319-30233-1Published: 30 March 2016

  • Softcover ISBN: 978-3-319-80757-7Published: 25 April 2018

  • eBook ISBN: 978-3-319-30235-5Published: 19 March 2016

  • 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

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