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A variable step size firefly algorithm for numerical optimization

Author

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  • Yu, Shuhao
  • Zhu, Shenglong
  • Ma, Yan
  • Mao, Demei

Abstract

Firefly algorithm is a novel nature-inspired optimization algorithm, which has been demonstrated to perform well on various numerical optimization problems. However, in standard firefly algorithm, it adopted the fixed step size throughout all iterations. This will result in the algorithm easily getting trapped in the local optima and causing low precision. In order to remedy this defect, we use a variable strategy for step size setting. The results show that the proposed algorithm enhances the performance of the standard firefly algorithm.

Suggested Citation

  • Yu, Shuhao & Zhu, Shenglong & Ma, Yan & Mao, Demei, 2015. "A variable step size firefly algorithm for numerical optimization," Applied Mathematics and Computation, Elsevier, vol. 263(C), pages 214-220.
    • Handle: RePEc:eee:apmaco:v:263:y:2015:i:c:p:214-220
    DOI: 10.1016/j.amc.2015.04.065
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    References listed on IDEAS

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    1. Younes, Mimoun & Khodja, Fouad & Kherfane, Riad Lakhdar, 2014. "Multi-objective economic emission dispatch solution using hybrid FFA (firefly algorithm) and considering wind power penetration," Energy, Elsevier, vol. 67(C), pages 595-606.
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    Cited by:

    1. B. Koti Reddy & Amit Kumar Singh, 2021. "Optimal Operation of a Photovoltaic Integrated Captive Cogeneration Plant with a Utility Grid Using Optimization and Machine Learning Prediction Methods," Energies, MDPI, vol. 14(16), pages 1-28, August.
    2. Chunyuan Zhang & Pengyu Chen & Fangling Jiang & Jinsen Xie & Tao Yu, 2023. "Fault Diagnosis of Nuclear Power Plant Based on Sparrow Search Algorithm Optimized CNN-LSTM Neural Network," Energies, MDPI, vol. 16(6), pages 1-17, March.
    3. Mousavi, Yashar & Alfi, Alireza, 2018. "Fractional calculus-based firefly algorithm applied to parameter estimation of chaotic systems," Chaos, Solitons & Fractals, Elsevier, vol. 114(C), pages 202-215.
    4. Liu, Jingsen & Mao, Yinan & Liu, Xiaozhen & Li, Yu, 2020. "A dynamic adaptive firefly algorithm with globally orientation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 174(C), pages 76-101.

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