Skip to main content
SpringerLink
Log in
Book cover

International Conference in Communications, Signal Processing, and Systems

CSPS 2018: Communications, Signal Processing, and Systems pp 621–626Cite as

Bat Algorithm with Adaptive Speed

  • Conference paper
  • First Online:

  • 2161 Accesses

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 516))

Abstract

As a famous heuristic algorithm, bat algorithm (BA) simulates the behavior of bat echolocation, which has simple model, fast convergence and distributed characteristics. But it also has some defects like slow convergence and low optimizing accuracy. Facing the shortages above, an optimization bat algorithm based on adaptive speed strategy is proposed. This improved algorithm can simulate the bat in the process of search based on adaptive value size and adaptive speed adjustment. His approach can improve the optimization efficiency and accuracy. Experimental results on CEC2013 test benchmarks show that our proposal has better global searchability and a faster convergence speed, and can effectively overcome the problem convergence.

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   169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   219.99
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

  1. Eberhart R, Kennedy J. A new optimizer using particle swarm theory. In: New York: IEEE; 1995. p. 39–43.

    Google Scholar 

  2. Holland JH. Genetic algorithms and the optimal allocation of trials. SIAM J Comput. 1973;2(2):88–105.

    Article  MathSciNet  Google Scholar 

  3. Yang X. Nature-inspired metaheuristic algorithms. Luniver press, 2010.

    Google Scholar 

  4. Wolpert DH, Macready WG. No free lunch theorems for optimization. IEEE Trans Evol Comput. 1997;1(1):67–82.

    Article  Google Scholar 

  5. Ho Y, Pepyne DL. Simple explanation of the no-free-lunch theorem and its implications. J Optim Theory Appl. 2002;115(3):549–70.

    Article  MathSciNet  Google Scholar 

  6. Dorigo M, Birattari M, Stutzle T. Ant colony optimization. IEEE Comput Intell Mag. 2006;1(4):28–39.

    Article  Google Scholar 

  7. Karaboga D, Akay B. A survey: Algorithms simulating bee swarm intelligence. Artif Intell Rev. 2009;31(1–4):61–85.

    Article  Google Scholar 

  8. Whitley D. A genetic algorithm tutorial. Stat Comput. 1994;4(2):65–85.

    Article  Google Scholar 

  9. Yang X, Hossein Gandomi A. Bat algorithm: A novel approach for global engineering optimization. Eng Comput. 2012;29(5):464–83.

    Article  Google Scholar 

  10. Yang X. A new metaheuristic bat-inspired algorithm. In: Nature inspired cooperative strategies for optimization (NICSO 2010), 2010. p. 65–74.

    Chapter  Google Scholar 

  11. Liang JJ, Qu BY, Suganthan PN, et al. Problem definitions and evaluation criteria for the CEC 2013 special session on real-parameter optimization. Computational Intelligence Laboratory, Zhengzhou University, Zhengzhou, China and Nanyang Technological University, Singapore, Technical Report. 2013, 201212: 3–18.

    Google Scholar 

Download references

Acknowledgments

This work was supported by Beijing Key Laboratory (No: BZ0211) and Beijing Intelligent Logistics System Collaborative Innovation Center.

Author information

Authors and Affiliations

  1. School of Information, Beijing Wuzi University, Beijing, 101149, China

    Siqing You, Dongjie Zhao & Fei Xue

  2. Beijing Advanced Innovation Center for Future Internet Technology, Beijing, 100124, China

    Hongjie Liu

Authors
  1. Siqing You
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Dongjie Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Hongjie Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Fei Xue
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Siqing You .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA

    Qilian Liang

  2. School of Information and Communication Engineering, Dalian University of Technology, Dalian, China

    Xin Liu

  3. School of Information Science and Technology, Dalian Maritime University, Dalian, China

    Zhenyu Na

  4. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  5. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Jiasong Mu

  6. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Baoju Zhang

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

You, S., Zhao, D., Liu, H., Xue, F. (2020). Bat Algorithm with Adaptive Speed. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 516. Springer, Singapore. https://doi.org/10.1007/978-981-13-6504-1_75

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-6504-1_75

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6503-4

  • Online ISBN: 978-981-13-6504-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation