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Updated: Sep 9, 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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多目的の最適化とリスク評価のための水,エネルギー,食料,土地の結びつきの枠組み,深層補強学習とコプラベースのモデリングを統合する

Zuowen Tan1, Han Li1, Zhaoyang Zhu1

  • 1College of Information, Shanghai Ocean University, Shanghai 201306, PR China.

Water research
|August 30, 2025
PubMed
まとめ

気候変動は水・エネルギー・食料・土地の結びつき (WEFLN) のリスクを高めています この研究は,R-vine Copulaと深層補強学習を使用して,WEFLNの管理を特定し,最適化し,リソースの利用可能性と経済的利益を改善する枠組みを導入します.

キーワード:
評価の枠組み共同リスク多目的最適化アルゴリズムR-ヴィン・コプラ水・エネルギー・食料・土地のつながり

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