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International Conference on Cloud Computing and Security

ICCCS 2017: Cloud Computing and Security pp 717–726Cite as

Adaptive Firefly Algorithm with a Modified Attractiveness Strategy

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10603))

Abstract

The performance of firefly algorithm (FA) is seriously affected by its parameters. Recently, we proposed a new FA with adaptive control parameters (ApFA), in which the step factor is dynamically updated and the attractiveness oscillates in a fixed interval. In this paper, we present a modified version of ApFA, namely MApFA, which introduces a new strategy to change the attractiveness. Simulation results on several benchmark functions show that MApFA can achieve more accurate solution than ApFA.

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Acknowledgements

This work is supported by the Science and Technology Plan Project of Jiangxi Provincial Education Department (No. GJJ161115), the National Natural Science Foundation of China (No. 61663028), the Natural Science Foundation of Jiangxi Province (No. 20171BAB202035), and the Open Research Fund of Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing (No. 2016WICSIP015).

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Authors and Affiliations

  1. School of Business Administration, Nanchang Institute of Technology, Nanchang, 330099, China

    Wenjun Wang

  2. Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, Nanchang Institute of Technology, Nanchang, 330099, China

    Hui Wang, Jia Zhao & Li Lv

  3. School of Information Engineering, Nanchang Institute of Technology, Nanchang, 330099, China

    Hui Wang, Jia Zhao & Li Lv

Authors
  1. Wenjun Wang
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  2. Hui Wang
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  3. Jia Zhao
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  4. Li Lv
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Corresponding author

Correspondence to Hui Wang .

Editor information

Editors and Affiliations

  1. Nanjing University of Information Science and Technology, Nanjing, China

    Xingming Sun

  2. National Dong Hwa University, Shoufeng, Taiwan

    Han-Chieh Chao

  3. China Information Technology Security Evaluation Center, Nanjing, China

    Xingang You

  4. Department of Computer Science, Purdue University, West Lafayette, Indiana, USA

    Elisa Bertino

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Wang, W., Wang, H., Zhao, J., Lv, L. (2017). Adaptive Firefly Algorithm with a Modified Attractiveness Strategy. In: Sun, X., Chao, HC., You, X., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2017. Lecture Notes in Computer Science(), vol 10603. Springer, Cham. https://doi.org/10.1007/978-3-319-68542-7_62

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  • DOI: https://doi.org/10.1007/978-3-319-68542-7_62

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68541-0

  • Online ISBN: 978-3-319-68542-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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