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A Comprehensive Review of Bat Inspired Algorithm: Variants, Applications, and Hybridization

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Abstract

Bat algorithm (BA) is one of the promising metaheuristic algorithms. It proved its efficiency in dealing with various optimization problems in diverse fields, such as power and energy systems, economic load dispatch problems, engineering design, image processing and medical applications. Thus, this review introduces a comprehensive and exhaustive review of the BA, as well as evaluates its main characteristics by comparing it with other optimization algorithms. The review paper highlights the performance of BA in different applications and the modifications that have been conducted by researchers (i.e., variants of BA). At the end, the conclusions focus on the current work on BA, highlighting its weaknesses, and suggest possible future research directions. The review paper will be helpful for the researchers and practitioners of BA belonging to a wide range of audiences from the domains of optimization, engineering, medical, data mining and clustering. As well, it is wealthy in research on health, environment and public safety. Also, it will aid those who are interested by providing them with potential future research.

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Acknowledgements

The authors would like to thank the Deanship of Scientific Research at Umm Al-Qura University for supporting this work by Grant Code: (22UQU4361183DSR05).

Funding

This research received no external funding.

Author information

Authors and Affiliations

  1. Faculty of Computer Sciences and Informatics, Amman Arab University, Amman, 11953, Jordan

    Mohammad Shehab

  2. Department of Geomatics, Faculty of Architecture and Planning, King Abdulaziz University, Jeddah, Saudi Arabia

    Muhannad A. Abu-Hashem

  3. The Custodian of the Two Holy Mosques Institute for Hajj and Umrah Research, Umm Al-Qura University, Mecca, Saudi Arabia

    Mohd Khaled Yousef Shambour

  4. Department of Information Technology, Faculty of Engineering and Information Technology, Israa University, Gaza, Palestine

    Ahmed Izzat Alsalibi

  5. MLALP Research Group, University of Sharjah, Sharjah, United Arab Emirates

    Osama Ahmad Alomari

  6. College of Business, University of Alabama in Huntsville, Huntsville, AL, USA

    Jatinder N. D. Gupta

  7. Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, 19328, Jordan

    Anas Ratib Alsoud & Laith Abualigah

  8. Department of Computer Science, Wenzhou-Kean University, Wenzhou, China

    Belal Abuhaija

  9. Faculty of Information Technology, Middle East University, Amman, 11831, Jordan

    Laith Abualigah

Authors
  1. Mohammad Shehab
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  2. Muhannad A. Abu-Hashem
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  3. Mohd Khaled Yousef Shambour
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  4. Ahmed Izzat Alsalibi
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  5. Osama Ahmad Alomari
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  6. Jatinder N. D. Gupta
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  7. Anas Ratib Alsoud
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  8. Belal Abuhaija
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  9. Laith Abualigah
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Corresponding authors

Correspondence to Belal Abuhaija or Laith Abualigah.

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Shehab, M., Abu-Hashem, M.A., Shambour, M.K.Y. et al. A Comprehensive Review of Bat Inspired Algorithm: Variants, Applications, and Hybridization. Arch Computat Methods Eng 30, 765–797 (2023). https://doi.org/10.1007/s11831-022-09817-5

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  • DOI: https://doi.org/10.1007/s11831-022-09817-5