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Rank-driven salp swarm algorithm with orthogonal opposition-based learning for global optimization
Salp swarm algorithm (SSA) is a relatively new and straightforward swarm-based meta-heuristic optimization algorithm, which is inspired by the flocking behavior of salps when foraging and navigating in oceans. Although SSA is very competitive, it suffers from some limitations including unbalanced ex...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8516494/ https://www.ncbi.nlm.nih.gov/pubmed/34764621 http://dx.doi.org/10.1007/s10489-021-02776-7 |