A Modified Artificial Rabbits Optimization for Solving Numerical Functions and Engineering Problems
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| Publicat a: | International Journal of Swarm Intelligence Research vol. 16, no. 1 (2025), p. 1-39 |
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| Altres autors: | , |
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IGI Global
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| Accés en línia: | Citation/Abstract Full Text - PDF |
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MARC
| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 3219011944 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 1947-9263 | ||
| 022 | |a 1947-9271 | ||
| 024 | 7 | |a 10.4018/IJSIR.378562 |2 doi | |
| 035 | |a 3219011944 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 100 | 1 | |a Yuan, Qihang |u Harbin University of Science and Technology, China | |
| 245 | 1 | |a A Modified Artificial Rabbits Optimization for Solving Numerical Functions and Engineering Problems | |
| 260 | |b IGI Global |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a 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. | |
| 653 | |a Accuracy | ||
| 653 | |a Swarm intelligence | ||
| 653 | |a Engineering | ||
| 653 | |a Physics | ||
| 653 | |a Convergence | ||
| 653 | |a Evolution | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Exploitation | ||
| 653 | |a Optimization algorithms | ||
| 653 | |a Optimization techniques | ||
| 653 | |a Optimization | ||
| 700 | 1 | |a Zhang, Yongde |u Harbin University of Science and Technology, China | |
| 700 | 1 | |a Muzzammil, Hafiz Muhammad |u Harbin University of Science and Technology, China | |
| 773 | 0 | |t International Journal of Swarm Intelligence Research |g vol. 16, no. 1 (2025), p. 1-39 | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3219011944/abstract/embedded/75I98GEZK8WCJMPQ?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3219011944/fulltextPDF/embedded/75I98GEZK8WCJMPQ?source=fedsrch |