Coastal Ecosystem Inspired Optimization
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| Format: | Recurso digital |
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Zenodo
2025
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| _version_ | 1866902127474900992 |
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| author | Zhang, Jincheng |
| author_facet | Zhang, Jincheng |
| contents | <p><span>Coastal ecosystems, located in the transition zone between land and sea, possess complex physical environments, diverse biomes, and dynamic ecological processes. This study proposes a Coastal Ecosystem Inspired Optimization (CEOI) algorithm that seamlessly integrates global search with local exploitation by simulating ecological features such as tides, dune sedimentation, salt marsh buffering, mangrove stabilization, and energy flows in food webs. The algorithm not only retains elite solutions but also enhances the swarm's search capabilities through dynamic boundary perturbations, random jumps, and adaptive elimination mechanisms. This paper details the algorithm's principles, swarm structure, update mechanism, and mathematical formulation, providing new insights into natural ecologically inspired optimization methods.</span></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17070487 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Coastal Ecosystem Inspired Optimization Zhang, Jincheng <p><span>Coastal ecosystems, located in the transition zone between land and sea, possess complex physical environments, diverse biomes, and dynamic ecological processes. This study proposes a Coastal Ecosystem Inspired Optimization (CEOI) algorithm that seamlessly integrates global search with local exploitation by simulating ecological features such as tides, dune sedimentation, salt marsh buffering, mangrove stabilization, and energy flows in food webs. The algorithm not only retains elite solutions but also enhances the swarm's search capabilities through dynamic boundary perturbations, random jumps, and adaptive elimination mechanisms. This paper details the algorithm's principles, swarm structure, update mechanism, and mathematical formulation, providing new insights into natural ecologically inspired optimization methods.</span></p> |
| title | Coastal Ecosystem Inspired Optimization |
| url | https://doi.org/10.5281/zenodo.17070487 |