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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.18087 |
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| _version_ | 1866910718196973568 |
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| author | Willnecker, Brandon Moodley, Mervlyn |
| author_facet | Willnecker, Brandon Moodley, Mervlyn |
| contents | The implementation of adaptive genetic algorithms (AGA) for optimization problems has proven to be superior than many other methods due to its nature of producing more robust and high quality solutions. Considering the complexity involved in many-body simulations, a novel AGA is proposed for applications to such systems and is specifically used to determine the lowest energy structures of various sized atomic clusters. For demonstrative purposes, we apply our method to various sized Lennard-Jones clusters and show that our results are more accurate than those found in the literature employing different methods. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_18087 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | An Adaptive Genetic Algorithm for determining optimal structures for atomic clusters Willnecker, Brandon Moodley, Mervlyn Computational Physics The implementation of adaptive genetic algorithms (AGA) for optimization problems has proven to be superior than many other methods due to its nature of producing more robust and high quality solutions. Considering the complexity involved in many-body simulations, a novel AGA is proposed for applications to such systems and is specifically used to determine the lowest energy structures of various sized atomic clusters. For demonstrative purposes, we apply our method to various sized Lennard-Jones clusters and show that our results are more accurate than those found in the literature employing different methods. |
| title | An Adaptive Genetic Algorithm for determining optimal structures for atomic clusters |
| topic | Computational Physics |
| url | https://arxiv.org/abs/2411.18087 |