Sandbar Disappearance Inspired Optimization Algorithm
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2025
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| _version_ | 1866902320238821376 |
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| author | Zhang, Jincheng |
| author_facet | Zhang, Jincheng |
| contents | <p><span>Optimization problems have widespread applications in engineering, computer science, and management science. Heuristic algorithms have attracted attention for their ability to solve complex nonlinear problems. This paper proposes a heuristic optimization algorithm (Sandbar Disappearance Inspired Optimization, SDIO) based on the dynamic deposition and scouring of sandbars. This algorithm incorporates periodic tidal perturbations and an individual disappearance-rebirth mechanism to achieve a balance between local search and global exploration. The algorithm is described using plain text mathematical formulas, including the deposition, scouring, tidal, and disappearance-rebirth mechanisms. Theoretical analysis demonstrates the algorithm's convergence and adaptive properties, providing a new approach for solving multimodal optimization and complex nonlinear problems.</span></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17180874 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Sandbar Disappearance Inspired Optimization Algorithm Zhang, Jincheng <p><span>Optimization problems have widespread applications in engineering, computer science, and management science. Heuristic algorithms have attracted attention for their ability to solve complex nonlinear problems. This paper proposes a heuristic optimization algorithm (Sandbar Disappearance Inspired Optimization, SDIO) based on the dynamic deposition and scouring of sandbars. This algorithm incorporates periodic tidal perturbations and an individual disappearance-rebirth mechanism to achieve a balance between local search and global exploration. The algorithm is described using plain text mathematical formulas, including the deposition, scouring, tidal, and disappearance-rebirth mechanisms. Theoretical analysis demonstrates the algorithm's convergence and adaptive properties, providing a new approach for solving multimodal optimization and complex nonlinear problems.</span></p> |
| title | Sandbar Disappearance Inspired Optimization Algorithm |
| url | https://doi.org/10.5281/zenodo.17180874 |