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GWO: a review and applications

Author

Listed:
  • Ganga Negi

    (Graphic Era Deemed to be University)

  • Anuj Kumar

    (University of Petroleum & Energy Studies)

  • Sangeeta Pant

    (University of Petroleum & Energy Studies)

  • Mangey Ram

    (Graphic Era Deemed to be University
    Graphic Era Deemed to be University)

Abstract

From the solitudinarian era to the present, the human race has been striving towards the betterment of his life by trying to find out the hidden secrets of our nature. Some time back one would hardly think that colonies of ant, pack of grey wolves, and elephants would be used to design an optimization algorithm. One of the optimization techniques called Grey Wolf Optimization (GWO) algorithm is motivated by the socio-hierarchical behaviour of the animal named Canis Lupus (Grey Wolf). In this paper, the detailed description of GWO is presented along with different development in standard GWO and its applications. Precisely, this article presents a state of the art review of the GWO algorithm, its progress, and applications in more complex real-world problem-solving.

Suggested Citation

  • Ganga Negi & Anuj Kumar & Sangeeta Pant & Mangey Ram, 2021. "GWO: a review and applications," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(1), pages 1-8, February.
    • Handle: RePEc:spr:ijsaem:v:12:y:2021:i:1:d:10.1007_s13198-020-00995-8
    DOI: 10.1007/s13198-020-00995-8
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    References listed on IDEAS

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    1. Linguo Li & Lijuan Sun & Jian Guo & Chong Han & Shujing Li, 2016. "Fuzzy Multilevel Image Thresholding Based on Modified Quick Artificial Bee Colony Algorithm and Local Information Aggregation," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-18, December.
    2. Jayabarathi, T. & Raghunathan, T. & Adarsh, B.R. & Suganthan, Ponnuthurai Nagaratnam, 2016. "Economic dispatch using hybrid grey wolf optimizer," Energy, Elsevier, vol. 111(C), pages 630-641.
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    Cited by:

    1. Huseyin Cagan Kilinc & Adem Yurtsever, 2022. "Short-Term Streamflow Forecasting Using Hybrid Deep Learning Model Based on Grey Wolf Algorithm for Hydrological Time Series," Sustainability, MDPI, vol. 14(6), pages 1-20, March.
    2. Eduardo Pichardo & Esteban Anides & Angel Vazquez & Luis Garcia & Juan G. Avalos & Giovanny Sánchez & Héctor M. Pérez & Juan C. Sánchez, 2023. "A Compact and High-Performance Acoustic Echo Canceller Neural Processor Using Grey Wolf Optimizer along with Least Mean Square Algorithms," Mathematics, MDPI, vol. 11(6), pages 1-24, March.

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