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Updated: Jun 8, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

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

Published on: December 9, 2012

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基于改进的多目标粒子群算法和TOPSIS方法的港口应急资源最佳分配模型

Jianqun Guo1, Zhonglian Jiang1, Jianglong Ying1

  • 1State Key Laboratory of Maritime Technology and Safety, Wuhan University of Technology, Wuhan 430063, China; National Engineering Research Center for Water Transport Safety, Wuhan University of Technology, Wuhan 430063, China.

Marine pollution bulletin
|November 5, 2024
PubMed
概括

这项研究引入了一种改进的多目标粒子群集优化 (IMOPSO) 模型,用于有效地分配港口紧急资源,提高海上安全,并可能将成本降低30%以上. 该模型优化了对石油泄漏等关键情况的资源部署.

关键词:
紧急资源分配的紧急资源分配.在值加权的TOPSISIS中使用值加权.改进了粒子群算法.多目标优化多目标优化在NSGA-II中,NSGA-II是最重要的.

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