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A Modified Artificial Rabbits Optimization for Solving Numerical Functions and Engineering Problems

Author

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  • Qihang Yuan

    (Harbin University of Science and Technology, China)

  • Yongde Zhang

    (Harbin University of Science and Technology, China)

  • Hafiz Muhammad Muzzammil

    (Harbin University of Science and Technology, China)

Abstract

The recently proposed swarm intelligence Artificial Rabbits Optimization (ARO) performs well, but there are still some drawbacks, including low population diversity, unbalanced exploration and exploitation capabilities, and low convergence accuracy. To address the above issues, this article proposes a variant of ARO named MARO, which adopts three strategies to overcome the limitations of ARO and improve its performance. This paper uses 23 classic test functions and CEC2017 test functions for testing. The experimental results show that MARO has higher convergence speed, accuracy, and stability than the comparison algorithms. In addition, the enormous potential of MARO in practical applications is further verified through five real-world engineering application problems.

Suggested Citation

  • Qihang Yuan & Yongde Zhang & Hafiz Muhammad Muzzammil, 2025. "A Modified Artificial Rabbits Optimization for Solving Numerical Functions and Engineering Problems," International Journal of Swarm Intelligence Research (IJSIR), IGI Global, vol. 16(1), pages 1-38, January.
    • Handle: RePEc:igg:jsir00:v:16:y:2025:i:1:p:1-38
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