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Updated: Jul 25, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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增强的乌搜索算法与全球优化问题的多阶段搜索集成

Jieguang He1, Zhiping Peng2,3, Lei Zhang1

  • 1College of Computer Science, Guangdong University of Petrochemical Technology, Maoming, China.

Soft computing
|June 26, 2023
PubMed
概括

增强的Crow搜索算法 (MSCSA) 通过整合多阶段搜索策略来提高复杂优化问题的性能,克服了原始算法的局限性,以获得更好的准确性和稳定性.

关键词:
群众搜索算法 群众搜索算法全球优化全球优化多个阶段的搜索搜索.搜索指导 搜索指导 搜索指导团结情报团队的人群.

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