Skip to main content
SpringerLink
Log in

Crow Search Algorithm (CSA)

  • Chapter
  • First Online:
Advanced Optimization by Nature-Inspired Algorithms

Part of the book series: Studies in Computational Intelligence ((SCI,volume 720))

Abstract

The crow search algorithm (CSA) is novel metaheuristic optimization algorithm, which is based on simulating the intelligent behavior of crow flocks. This algorithm was introduced by Askarzadeh (2016) and the preliminary results illustrated its potential to solve numerous complex engineering-related optimization problems. In this chapter, the natural process behind a standard CSA is described at length.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 139.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Askarzadeh, A. (2016). A novel metaheuristic method for solving constrained engineering optimization problems: Crow search algorithm. Computers & Structures, 169, 1–12.

    Google Scholar 

  • Beni, G., & Wang, J. (1993). Swarm intelligence in cellular robotic systems. In P. Dario, G. Sandini, & P. Aebischer (Eds.), Robots and Biological Systems: Towards a New Bionics? Berlin, New York, NY: Springer.

    Google Scholar 

  • Bonabeau, E., Dorigo, M., & Theraulaz, G. (1999). Swarm intelligence: From natural to artificial systems. New York, NY: Oxford University Press.

    MATH  Google Scholar 

  • Clayton, N., & Emery, N. (2005). Corvid cognition. Current Biology, 15(3), R80–R81.

    Google Scholar 

  • Emery, N. J., & Clayton, N. S. (2004). The mentality of crows: Convergent evolution of intelligence in corvids and apes. Science, 306(5703), 1903–1907.

    Google Scholar 

  • Emery, N. J., & Clayton, N. S. (2005). Evolution of the avian brain and intelligence. Current Biology, 15(23), R946–R950.

    Google Scholar 

  • Gandomi, A. H., Yang, X. S., & Alavi, A. H. (2013). Cuckoo search algorithm: A metaheuristic approach to solve structural optimization problems. Engineering with Computers, 29(1), 17–35.

    Google Scholar 

  • Prior, H., Schwarz, A., & Güntürkün, O. (2008). Mirror-induced behavior in the magpie (Pica pica): Evidence of self-recognition. PLoS Biology, 6(8), e202.

    Google Scholar 

  • Wolpert, D. H., & Macready, W. G. (1997). No free lunch theorems for optimization. IEEE Transactions on Evolutionary Computation, 1(1), 67–82.

    Google Scholar 

  • Yang, X. S. (2010). Nature-inspired metaheuristic algorithms. Frome, UK: Luniver press.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Irrigation and Reclamation Engineering, Faculty of Agricultural Engineering and Technology, College of Agriculture and Natural Resources, University of Tehran, 3158777871, Karaj, Iran

    Babak Zolghadr-Asli & Omid Bozorg-Haddad

  2. Department of Civil and Environmental Engineering, North Dakota State University, Dept 2470, Fargo, ND, 58108-6050, USA

    Xuefeng Chu

Authors
  1. Babak Zolghadr-Asli
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Omid Bozorg-Haddad
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Xuefeng Chu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Omid Bozorg-Haddad .

Editor information

Editors and Affiliations

  1. Irrigation & Reclamation Engineering, University of Tehran College of Agriculture & Natural Resources, Karaj, Iran

    Omid Bozorg-Haddad

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this chapter

Cite this chapter

Zolghadr-Asli, B., Bozorg-Haddad, O., Chu, X. (2018). Crow Search Algorithm (CSA). In: Bozorg-Haddad, O. (eds) Advanced Optimization by Nature-Inspired Algorithms. Studies in Computational Intelligence, vol 720. Springer, Singapore. https://doi.org/10.1007/978-981-10-5221-7_14

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-5221-7_14

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5220-0

  • Online ISBN: 978-981-10-5221-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation