Improving Moth-Flame Optimization Algorithm by using Slime-Mould Algorithm
The MFO algorithm is one of the modern optimization algorithms based on swarm intelligence, and the SMA algorithm is also one of the latest algorithms in the same field and has the advantages of fast convergence, high convergence accuracy, robust and robust. In this research paper, we introduce an...
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| Format: | Article |
| Language: | English |
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Tikrit University
2022-12-01
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| Series: | Tikrit Journal of Pure Science |
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| Online Access: | https://tjpsj.org/index.php/tjps/article/view/86 |
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| _version_ | 1850115075991404544 |
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| author | Sami N. Hussein Nazar K. Hussein |
| author_facet | Sami N. Hussein Nazar K. Hussein |
| author_sort | Sami N. Hussein |
| collection | DOAJ |
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The MFO algorithm is one of the modern optimization algorithms based on swarm intelligence, and the SMA algorithm is also one of the latest algorithms in the same field and has the advantages of fast convergence, high convergence accuracy, robust and robust. In this research paper, we introduce an optimized algorithm for MFO based on the SMA algorithm to get better performance using the features in the two algorithms, and two different algorithms are proposed in this field. The two predicted new algorithms were tested with standard test functions and the results were encouraging compared to the standard algorithms.
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| format | Article |
| id | doaj-art-7a7816d9c4bb42829c381a261e3caa0e |
| institution | OA Journals |
| issn | 1813-1662 2415-1726 |
| language | English |
| publishDate | 2022-12-01 |
| publisher | Tikrit University |
| record_format | Article |
| series | Tikrit Journal of Pure Science |
| spelling | doaj-art-7a7816d9c4bb42829c381a261e3caa0e2025-08-20T02:36:41ZengTikrit UniversityTikrit Journal of Pure Science1813-16622415-17262022-12-0127110.25130/tjps.v27i1.86Improving Moth-Flame Optimization Algorithm by using Slime-Mould AlgorithmSami N. HusseinNazar K. Hussein The MFO algorithm is one of the modern optimization algorithms based on swarm intelligence, and the SMA algorithm is also one of the latest algorithms in the same field and has the advantages of fast convergence, high convergence accuracy, robust and robust. In this research paper, we introduce an optimized algorithm for MFO based on the SMA algorithm to get better performance using the features in the two algorithms, and two different algorithms are proposed in this field. The two predicted new algorithms were tested with standard test functions and the results were encouraging compared to the standard algorithms. https://tjpsj.org/index.php/tjps/article/view/86Moth-Flame OptimizationSlime molds algorithmoptimizationswarmheuristics |
| spellingShingle | Sami N. Hussein Nazar K. Hussein Improving Moth-Flame Optimization Algorithm by using Slime-Mould Algorithm Tikrit Journal of Pure Science Moth-Flame Optimization Slime molds algorithm optimization swarm heuristics |
| title | Improving Moth-Flame Optimization Algorithm by using Slime-Mould Algorithm |
| title_full | Improving Moth-Flame Optimization Algorithm by using Slime-Mould Algorithm |
| title_fullStr | Improving Moth-Flame Optimization Algorithm by using Slime-Mould Algorithm |
| title_full_unstemmed | Improving Moth-Flame Optimization Algorithm by using Slime-Mould Algorithm |
| title_short | Improving Moth-Flame Optimization Algorithm by using Slime-Mould Algorithm |
| title_sort | improving moth flame optimization algorithm by using slime mould algorithm |
| topic | Moth-Flame Optimization Slime molds algorithm optimization swarm heuristics |
| url | https://tjpsj.org/index.php/tjps/article/view/86 |
| work_keys_str_mv | AT saminhussein improvingmothflameoptimizationalgorithmbyusingslimemouldalgorithm AT nazarkhussein improvingmothflameoptimizationalgorithmbyusingslimemouldalgorithm |