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Updated: May 10, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

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萨尔普导航和基于竞争的优化器 (SNCPO) 提供高效的极端学习机器训练和全球数值优化

Oluwatayomi Rereloluwa Adegboye1, Afi Kekeli Feda2, Ghanshyam G Tejani3,4

  • 1University of Mediterranean Karpasia, Mersin-10, TR-10 Mersin, Mersin, Northern Cyprus, Turkey.

Scientific reports
|April 21, 2025
PubMed
概括

一个新的混合优化算法,Salp导航和基于竞争的优化器 (SNCPO),增强机器学习和工程任务. 它有效地平衡了勘探和开采,避免了获得卓越性能的本地最佳情况.

关键词:
竞争性的群体优化 (CSO)极端学习机器 (ELM) 是一种极端学习机器.优化器 (PO) 是一个优化器.萨尔普群集算法 (SSA) 是一种

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