Skip to main content
SpringerLink
Log in
Book cover

Genetic and Evolutionary Computing pp 3–9Cite as

Improving the Searching Capacity of Evolved Bat Algorithm by the Periodic Signal

  • Conference paper
  • First Online:

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 387))

Abstract

In this paper, the evolved bat algorithm is improved by replacing the fixed value, which is determined by the media, with the periodic signal. The familiar periodic signal exists in the natural environment is the sine/cosine signal. We take the cosine signal in our design of improving the searching capacity of the evolved bat algorithm. Three test functions, of which the global optimum values are known, are used in the experiments. The experimental results indicate that our proposed strategy improves the searching accuracy of the evolved bat algorithm about 45.722% in average.

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   129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Chu, S.-C., Tsai, P.-W.: Computational Intelligence Based on the Behavior of Cats. International Journal of Innovative Computing, Information and Control 3(1), 163–173 (2007)

    Google Scholar 

  2. Chu, S.-C., Tsai, P.-w., Pan, J.-S.: Cat swarm optimization. In: Yang, Q., Webb, G. (eds.) PRICAI 2006. LNCS (LNAI), vol. 4099, pp. 854–858. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  3. Temel, S., Unaldi, N., Kaynak, O.: On Deployment of Wireless Sensors on 3-D Terrains to Maximize Sensing Coverage by Utilizing Cat Swarm Optimization with Wavelet Transform. IEEE Transactions on Systems, Man, and Cybernetics: Systems 44(1), 111–120 (2014)

    Article  Google Scholar 

  4. Pappula, L., Ghosh, D.: Linear antenna array synthesis using cat swarm optimization. International Journal of Electronics and Communications (AEÜ) 68, 540–549 (2014)

    Article  Google Scholar 

  5. Yang, F., Ding, M., Zhang, X., Hou, W., Zhong, C.: Non-rigid multi-modal medical image registration by combining L-BFGS-B with cat swarm optimization. Information Sciences, in press (2015)

    Google Scholar 

  6. Tsai, P.-W., Pan, J.-S., Liao, B.-Y., Tsai, M.-J., Vaci, I.: Bat Algorithm Inspired Algorithm for Solving Numerical Optimization Problems. Applied Mechanics and Materials 148–149, 134–137 (2012)

    Google Scholar 

  7. Yang, X.-S.: A new metaheuristic bat-inspired algorithm. In: González, J.R., Pelta, D.A., Cruz, C., Terrazas, G., Krasnogor, N. (eds.) NICSO 2010. SCI, vol. 284, pp. 65–74. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  8. Hasançebi, O., Teke, T., Pekcan, O.: A bat-inspired algorithm for structural optimization. Computers and Structures 128, 77–90 (2013)

    Article  Google Scholar 

  9. Niknam, T., Sharifinia, S., Azizipanah-Abarghooee, R.: A new enhanced bat-inspired algorithm for finding linear supply function equilibrium of GENCOs in the competitive electricity market. Energy Conversion and Management 76, 1015–1028 (2013)

    Article  Google Scholar 

  10. Niknam, T., Azizipanah-Abarghooee, R., Zare, M., Bahmani-Firouzi, B.: Reserve Constrained Dynamic Environmental/Economic Dispatch: A New Multiobjective Self-Adaptive Learning Bat Algorithm. IEEE Systems Journal 7(4), 763–776 (2013)

    Article  Google Scholar 

  11. Zhao, D.-N., Xie, W.-X., Lu, Z.-M.: High Efficiency Reversible Data Hiding for Two-stage Vector Quantization Compressed Images. Journal of Information Hiding and Multimedia Signal Processing 5(4), 625–641 (2014)

    MATH  Google Scholar 

  12. Ngo, N.M., Unoki, M., Miyauchi, R., Suzuki, Y.: Data Hiding Scheme for Amplitude Modulation Radio Broadcasting Systems. Journal of Information Hiding and Multimedia Signal Processing 5(3), 324–341 (2014)

    Google Scholar 

  13. Li, P., Kong, Q., Ma, Y.: Image Secret Sharing and Hiding with Authentication Based on PSNR Estimation. Journal of Information Hiding and Multimedia Signal Processing 5(3), 353–366 (2014)

    Google Scholar 

  14. Kuo, W.-C., Chang, S.-Y.: Hybrid GEMD Data Hiding. Journal of Information Hiding and Multimedia Signal Processing 5(3), 420–430 (2014)

    MATH  Google Scholar 

  15. Marin, J., Shih, F.Y.: Reversible Data Hiding Techniques Using Multiple Scanning Difference Value Histogram Modification. Journal of Information Hiding and Multimedia Signal Processing 5(3), 451–460 (2014)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. College of Information Science and Engineering, Fujian University of Technology, Fuzhou City, 350118, Fujian, China

    Pei-Wei Tsai, Sijing Cai & Jeng-Shyang Pan

  2. Key Laboratory for Automotive Electronics and Electric Drive of Fujian Province, Fujian University of Technology, Fuzhou City, 350118, Fujian, China

    Pei-Wei Tsai & Lyu-Chao Liao

  3. Council of Indigenous Peoples, Executive Yuan, New Taipei City, 24220, Taipei, Taiwan

    Vaci Istanda

  4. Innovative Information Industry Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, 518055, China

    Jeng-Shyang Pan

Authors
  1. Pei-Wei Tsai
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sijing Cai
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Vaci Istanda
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Lyu-Chao Liao
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Jeng-Shyang Pan
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jeng-Shyang Pan .

Editor information

Editors and Affiliations

  1. Faculty of Engineering, University of Miyazaki, Miyazaki, Japan

    Thi Thi Zin

  2. School of Computer Science and Tech..., Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China

    Jerry Chun-Wei Lin

  3. College of Information Science and Engg, Fujian University of Technology, Fuzhou, China

    Jeng-Shyang Pan

  4. Faculty of Engineering, University of Miyazaki, Miyazaki, Japan

    Pyke Tin

  5. Faculty of Engineering, University of Miyazaki, Miyazaki, Japan

    Mitsuhiro Yokota

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Tsai, PW., Cai, S., Istanda, V., Liao, LC., Pan, JS. (2016). Improving the Searching Capacity of Evolved Bat Algorithm by the Periodic Signal. In: Zin, T., Lin, JW., Pan, JS., Tin, P., Yokota, M. (eds) Genetic and Evolutionary Computing. Advances in Intelligent Systems and Computing, vol 387. Springer, Cham. https://doi.org/10.1007/978-3-319-23204-1_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-23204-1_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23203-4

  • Online ISBN: 978-3-319-23204-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation