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Updated: Jun 18, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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单个和多目标进化算法的运行时分析,用于具有正常分布的随机变量的机会受限优化问题

Frank Neumann1, Carsten Witt2

  • 1Optimisation and Logistics, The University of Adelaide, Adelaide, Australia frank.neumann@adelaide.edu.au.

Evolutionary computation
|August 5, 2024
PubMed
概括

机会受约束优化的进化算法面临着局部最佳. 多目标方法有效地平衡成本和差异,为随机优化问题的不同信心水平提供最佳解决方案.

关键词:
机会限制 机会限制巴雷托优化的优化.进化的多目标算法.运行时间分析.

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