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Recent Advances of Chimp Optimization Algorithm: Variants and Applications

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An Erratum to this article was published on 18 August 2023

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Abstract

Chimp Optimization Algorithm (ChOA) is one of the recent metaheuristics swarm intelligence methods. It has been widely tailored for a wide variety of optimization problems due to its impressive characteristics over other swarm intelligence methods: it has very few parameters, and no derivation information is required in the initial search. Also, it is simple, easy to use, flexible, scalable, and has a special capability to strike the right balance between exploration and exploitation during the search which leads to favorable convergence. Therefore, the ChOA has recently gained a very big research interest with tremendous audiences from several domains in a very short time. Thus, in this review paper, several research publications using ChOA have been overviewed and summarized. Initially, introductory information about ChOA is provided which illustrates the natural foundation context and its related optimization conceptual framework. The main operations of ChOA are procedurally discussed, and the theoretical foundation is described. Furthermore, the recent versions of ChOA are discussed in detail which are categorized into modified, hybridized, and paralleled versions. The main applications of ChOA are also thoroughly described. The applications belong to the domains of economics, image processing, engineering, neural network, power and energy, networks, etc. Evaluation of ChOA is also provided. The review paper will be helpful for the researchers and practitioners of ChOA 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: (23UQU4361183DSR03).

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Authors and Affiliations

  1. College of Engineering, Al Ain University, 112612, Abu Dhabi, United Arab Emirates

    Mohammad Sh. Daoud

  2. College of Computer Sciences and Informatics, Amman Arab University, Amman, 11953, Jordan

    Mohammad Shehab

  3. Computer Science Department, Prince Hussein Bin Abdullah Faculty for Information Technology, Al Al-Bayt University, Mafraq, 25113, Jordan

    Laith Abualigah

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

    Laith Abualigah

  5. MEU Research Unit, Middle East University, Amman, 11831, Jordan

    Laith Abualigah

  6. Applied Science Research Center, Applied Science Private University, Amman, 11931, Jordan

    Laith Abualigah

  7. School of Computer Sciences, Universiti Sains Malaysia, 11800, Pulau Pinang, Malaysia

    Laith Abualigah

  8. Faculty of Information Technology, Applied Science Private University, Amman, 11931, Jordan

    Mohammad Alshinwan

  9. Department of Mathematics, Faculty of Science, Zagazig University, Zagazig, 7120001, Egypt

    Mohamed Abd Elaziz

  10. The Custodian of the Two Holy Mosques Institute for Hajj and Umrah Research, Umm Al-Qura University, Makkah, 24382, Saudi Arabia

    Mohd Khaled Yousef Shambour

  11. Depto. de Innovacio´n Basada en la Informacio´n y el Conocimiento, Universidad de Guadalajara, CUCEI, 45129, Guadalajara, Mexico

    Diego Oliva

  12. Cyber Security Department, Faculty of Science and Information Technology, Al Zaytoonah University of Jordan, Amman, 11733, Jordan

    Mohammad A. Alia

  13. Sorbonne Center of Artificial Intelligence, Sorbonne University-Abu Dhabi, 38044, Abu Dhabi, United Arab Emirates

    Raed Abu Zitar

  14. School of Engineering and Technology, Sunway University Malaysia, 27500, Petaling Jaya, Malaysia

    Laith Abualigah

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  1. Mohammad Sh. Daoud
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Daoud, M.S., Shehab, M., Abualigah, L. et al. Recent Advances of Chimp Optimization Algorithm: Variants and Applications. J Bionic Eng 20, 2840–2862 (2023). https://doi.org/10.1007/s42235-023-00414-1

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