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Updated: Sep 9, 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

Published on: December 9, 2012

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通过深度强化学习和基于Copula的建模,实现多目标优化和风险评估的水,能源,食品和土地联系框架

Zuowen Tan1, Han Li1, Zhaoyang Zhu1

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

Water research
|August 30, 2025
PubMed
概括

气候变化增加了水,能源,粮食和土地联系 (WEFLN) 的风险. 本研究介绍了一个使用R-vine Copula和深度强化学习的框架,以识别和优化WEFLN管理,提高资源可用性和经济效益.

关键词:
评估框架共同的风险多目标优化算法葡萄牙葡萄水 - 能源 - 粮食 - 土地联系

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