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Nature-Inspired Computation in Engineering pp 1–20Cite as

Nature-Inspired Optimization Algorithms in Engineering: Overview and Applications

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

Abstract

Nature-inspired computation has become popular in engineering applications and nature-inspired algorithms tend to be simple and flexible and yet sufficiently efficient to deal with highly nonlinear optimization problems. In this chapter, we first review the brief history of nature-inspired optimization algorithms, followed by the introduction of a few recent algorithms based on swarm intelligence. Then, we analyze the key characteristics of optimization algorithms and discuss the choice of algorithms. Finally, some case studies in engineering are briefly presented.

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Author information

Authors and Affiliations

  1. School of Science and Technology, Middlesex University, The Burroughs, London, NW4 4BT, UK

    Xin-She Yang

  2. College of Science, Xi’an Polytechnic University, Jinhua South Road, Xi’an, People’s Republic of China

    Xingshi He

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  1. Xin-She Yang
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  2. Xingshi He
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Correspondence to Xin-She Yang .

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  1. School of Science and Technology, Middlesex University, London, United Kingdom

    Xin-She Yang

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Yang, XS., He, X. (2016). Nature-Inspired Optimization Algorithms in Engineering: Overview and Applications. In: Yang, XS. (eds) Nature-Inspired Computation in Engineering. Studies in Computational Intelligence, vol 637. Springer, Cham. https://doi.org/10.1007/978-3-319-30235-5_1

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  • DOI: https://doi.org/10.1007/978-3-319-30235-5_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-30233-1

  • Online ISBN: 978-3-319-30235-5

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