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Robust planning for fresh agricultural products with uncertain demand based on second-order cone robust optimization
Robust planning for fresh agricultural products with uncertain demand based on second-order cone robust optimization
- “Using reinforcement learning and robust optimization research methods, an intelligent system capable of making effective delivery decisions in an environment with uncertain demand was constructed. The research progress in the field of fresh agricultural product delivery was introduced, and the research team established a decision system combining Dueling Trouble DQN and second-order cone robust optimization to provide a solution for cost optimization problems under uncertain demand.”
- Journal of China Agricultural University Vol. 31, Issue 8, Pages: 243-250(2026)
DOI: 10.11841/j.issn.1007-4333.2026.08.21
Accepted:02 December 2025
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Related Author
BIN Hou
ZHANG Luhang
WANG Sujie
WANG Huanfang
Related Institution
School of Business, Hunan University of Technology


