Research on Tobacco Retail Store Regulatory Route Optimization Algorithm Based on Graph Attention Mechanism for Node Selection

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- Research on Tobacco Retail Store Regulatory Route Optimization Algorithm Based on Graph Attention Mechanism for Node Selection
- “在城市烟草监管领域，最新研究提出了GA-SGPO算法，有效提升了监管路径规划的效率和准确性。”
- Software Guide Vol. 23, Issue 9, Pages: 157-162(2024)
- 作者机构：
  
  1.广东烟草东莞市有限公司,广东东莞 523000
  2.广东省烟草专卖局(公司),广东广州 510000
  3.中山大学信息管理学院,广东广州 510006
- 作者简介：
- 基金信息：
- DOI：10.11907/rjdk.232007
  CLC： TP391.41
- Published：16 September 2024，
  
  Received：25 September 2023，
- 稿件说明：
移动端阅览
钱漫,陈杜勇,钟培泉等.基于图注意力的烟草零售店监管路线优化研究[J].软件导刊,2024,23(09):157-162.

QIAN Man,CHEN Duyong,ZHONG Peiquan,et al.Research on Tobacco Retail Store Regulatory Route Optimization Algorithm Based on Graph Attention Mechanism for Node Selection[J].Software Guide,2024,23(09):157-162.
钱漫,陈杜勇,钟培泉等.基于图注意力的烟草零售店监管路线优化研究[J].软件导刊,2024,23(09):157-162. DOI： 10.11907/rjdk.232007.

QIAN Man,CHEN Duyong,ZHONG Peiquan,et al.Research on Tobacco Retail Store Regulatory Route Optimization Algorithm Based on Graph Attention Mechanism for Node Selection[J].Software Guide,2024,23(09):157-162. DOI： 10.11907/rjdk.232007.

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