Skip to main content
SpringerLink
Log in
Book cover

Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering pp 11–19Cite as

Krill Herd Algorithm

  • Chapter
  • First Online:

Part of the book series: Studies in Computational Intelligence ((SCI,volume 816))

Abstract

Krill herd (KH) algorithm has a unique behavior to solve the text clustering problem. This algorithm was introduced by Gandomi and Alavi in the year 2012 to solve global optimization functions (Gandomi, Alavi, Communications in nonlinear science and numerical simulation, 17(12):4831–4845, (2012)). This section presents the modeling of the basic-krill herd algorithm (KHA) for the TDCP (Abualigah, Khader, Al-Betar, Awadallah, 2016 IEEE symposium on computer applications and industrial electronics (ISCAIE), pp 67–72, (2016)).

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

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD   109.99
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

Learn about institutional subscriptions

References

  • Abualigah, L. M., Khader, A. T., Al-Betar, M. A., & Awadallah, M. A. (2016). A krill herd algorithm for efficient text documents clustering. In 2016 IEEE Symposium on Computer applications and Industrial Electronics (ISCAIE) (pp. 67–72).

    Google Scholar 

  • Bolaji, A. L., Al-Betar, M. A., Awadallah, M. A., Khader, A. T., & Abualigah, L. M. (2016). A comprehensive review: Krill herd algorithm (kh) and its applications. Applied Soft Computing.

    Google Scholar 

  • Chen, H., Jiang, W., Li, C., & Li, R. (2013). A heuristic feature selection approach for text categorization by using chaos optimization and genetic algorithm. Mathematical Problems in Engineering, 2013.

    Google Scholar 

  • Gandomi, A. H., & Alavi, A. H. (2012). Krill herd: A new bio-inspired optimization algorithm. Communications in Nonlinear Science and Numerical Simulation, 17(12), 4831–4845.

    Article  MathSciNet  Google Scholar 

  • Gandomi, A. H., Talatahari, S., Tadbiri, F., & Alavi, A. H. (2013). Krill herd algorithm for optimum design of truss structures. International Journal of Bio-inspired Computation, 5(5), 281–288.

    Article  Google Scholar 

  • Jensi, R., & Jiji, G. W. (2016). An improved krill herd algorithm with global exploration capability for solving numerical function optimization problems and its application to data clustering. Applied Soft Computing, 46, 230–245.

    Article  Google Scholar 

  • Mandal, B., Roy, P. K., & Mandal, S. (2014). Economic load dispatch using krill herd algorithm. International Journal of Electrical Power and Energy Systems, 57, 1–10.

    Article  Google Scholar 

  • Wang, G., Guo, L., Gandomi, A. H., Cao, L., Alavi, A. H., Duan, H., et al. (2013). Lévy-flight krill herd algorithm. Mathematical Problems in Engineering, Article ID 682073, 2013, 14. https://doi.org/10.1155/2013/682073.

    Google Scholar 

  • Wang, G., Guo, L., Wang, H., Duan, H., Liu, L., & Li, J. (2014a). Incorporating mutation scheme into krill herd algorithm for global numerical optimization. Neural Computing and Applications, 24(3–4), 853–871.

    Article  Google Scholar 

  • Wang, G.-G., Gandomi, A. H., & Alavi, A. H. (2014b). Stud krill herd algorithm. Neurocomputing, 128, 363–370.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Universiti Sains Malaysia, Penang, Malaysia

    Laith Mohammad Qasim Abualigah

Authors
  1. Laith Mohammad Qasim Abualigah
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Laith Mohammad Qasim Abualigah .

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Abualigah, L.M.Q. (2019). Krill Herd Algorithm. In: Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering. Studies in Computational Intelligence, vol 816. Springer, Cham. https://doi.org/10.1007/978-3-030-10674-4_2

Download citation

Publish with us

Policies and ethics

Search

Navigation