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A New Adaptive Firefly Algorithm for Solving Optimization Problems

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Abstract

Firefly algorithm (FA) is an efficient optimization technique, which has been widely used to solve various engineering problems. However, FA is sensitive to its control parameters. Recently, a memetic FA (called MFA) is proposed to improve the sensitivity of FA. To further enhance the performance of MFA, this paper proposes a new method to adaptively adjust the step factor. Experiments on several benchmark problems show that our approach is superior to the standard FA, MFA, and some other improved FAs.

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Acknowledgement

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 Distinguished Young Talents Plan of Jaingxi Province (No. 20171BCB23075), 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. Tongji University, Shanghai, China

    De-Shuang Huang

  2. Politecnico di Bari, Bari, Italy

    Vitoantonio Bevilacqua

  3. University of Wollongong, North Wollongong, New South Wales, Australia

    Prashan Premaratne

  4. Indian Institute of Technology, Kanpur, India

    Phalguni Gupta

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Wang, W., Wang, H., Zhao, J., Lv, L. (2017). A New Adaptive Firefly Algorithm for Solving Optimization Problems. In: Huang, DS., Bevilacqua, V., Premaratne, P., Gupta, P. (eds) Intelligent Computing Theories and Application. ICIC 2017. Lecture Notes in Computer Science(), vol 10361. Springer, Cham. https://doi.org/10.1007/978-3-319-63309-1_57

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  • DOI: https://doi.org/10.1007/978-3-319-63309-1_57

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63308-4

  • Online ISBN: 978-3-319-63309-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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