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

  • Pei-Wei Tsai
  • Sijing Cai
  • Vaci Istanda
  • Lyu-Chao Liao
  • Jeng-Shyang Pan
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 387)


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.


Evolved bat algorithm Swarm intelligence Periodic signal Optimization 


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  1. 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. 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)CrossRefGoogle Scholar
  3. 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)CrossRefGoogle Scholar
  4. 4.
    Pappula, L., Ghosh, D.: Linear antenna array synthesis using cat swarm optimization. International Journal of Electronics and Communications (AEÜ) 68, 540–549 (2014)CrossRefGoogle Scholar
  5. 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. 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. 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)CrossRefGoogle Scholar
  8. 8.
    Hasançebi, O., Teke, T., Pekcan, O.: A bat-inspired algorithm for structural optimization. Computers and Structures 128, 77–90 (2013)CrossRefGoogle Scholar
  9. 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)CrossRefGoogle Scholar
  10. 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)CrossRefGoogle Scholar
  11. 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)MATHGoogle Scholar
  12. 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. 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. 14.
    Kuo, W.-C., Chang, S.-Y.: Hybrid GEMD Data Hiding. Journal of Information Hiding and Multimedia Signal Processing 5(3), 420–430 (2014)MATHGoogle Scholar
  15. 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

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Pei-Wei Tsai
    • 1
    • 2
  • Sijing Cai
    • 1
  • Vaci Istanda
    • 3
  • Lyu-Chao Liao
    • 2
  • Jeng-Shyang Pan
    • 1
    • 4
  1. 1.College of Information Science and EngineeringFujian University of TechnologyFuzhou CityChina
  2. 2.Key Laboratory for Automotive Electronics and Electric Drive of Fujian ProvinceFujian University of TechnologyFuzhou CityChina
  3. 3.Council of Indigenous PeoplesExecutive YuanNew Taipei CityTaiwan
  4. 4.Innovative Information Industry Research Center, Shenzhen Graduate SchoolHarbin Institute of TechnologyShenzhenChina

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