The Optimization Model of E-Commerce Logistics Distribution Path Based on GIS Technology
The optimization of the e-commerce logistics distribution path has always been an important research object in intelligent control. Based on the geographic information system (GIS) platform, this paper proposes an improved ant colony algorithm for the logistics distribution path optimization model b...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2022/4303863 |
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| _version_ | 1832563441521393664 |
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| author | Jianhong Jiao Yong Liu Cuijie Xie |
| author_facet | Jianhong Jiao Yong Liu Cuijie Xie |
| author_sort | Jianhong Jiao |
| collection | DOAJ |
| description | The optimization of the e-commerce logistics distribution path has always been an important research object in intelligent control. Based on the geographic information system (GIS) platform, this paper proposes an improved ant colony algorithm for the logistics distribution path optimization model based on the GIS platform. Firstly, ArcGIS software is used to solve the problem of complex networks and realize the selection and output of optional routes. Secondly, the basic ant colony algorithm is improved, and a dynamic path planning method combining global planning information and local planning is proposed. It mainly includes the improvement of the heuristic function and the improvement of the update method of pheromone. Finally, through simulation experiments and case validation experiments, it is concluded that the improved algorithm outperforms the traditional ant colony algorithm. In the case validation part, a local area of Beijing is selected to simulate a natural distribution environment, and the path optimization experiments are validated by building an actual road network model. The results show that the model can plan the optimal path for logistics distribution according to the road congestion. The data analysis shows that the route optimization model proposed in this paper can effectively reduce the distribution cost of enterprises, increase vehicle loading, and increase the profit and industry competitiveness of logistics enterprises. |
| format | Article |
| id | doaj-art-846a941c1319448bb3da6a87f1bd034d |
| institution | Kabale University |
| issn | 1687-5699 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Multimedia |
| spelling | doaj-art-846a941c1319448bb3da6a87f1bd034d2025-02-03T01:20:16ZengWileyAdvances in Multimedia1687-56992022-01-01202210.1155/2022/4303863The Optimization Model of E-Commerce Logistics Distribution Path Based on GIS TechnologyJianhong Jiao0Yong Liu1Cuijie Xie2Department of Logistics ManagementDepartment of Logistics ManagementDepartment of Logistics ManagementThe optimization of the e-commerce logistics distribution path has always been an important research object in intelligent control. Based on the geographic information system (GIS) platform, this paper proposes an improved ant colony algorithm for the logistics distribution path optimization model based on the GIS platform. Firstly, ArcGIS software is used to solve the problem of complex networks and realize the selection and output of optional routes. Secondly, the basic ant colony algorithm is improved, and a dynamic path planning method combining global planning information and local planning is proposed. It mainly includes the improvement of the heuristic function and the improvement of the update method of pheromone. Finally, through simulation experiments and case validation experiments, it is concluded that the improved algorithm outperforms the traditional ant colony algorithm. In the case validation part, a local area of Beijing is selected to simulate a natural distribution environment, and the path optimization experiments are validated by building an actual road network model. The results show that the model can plan the optimal path for logistics distribution according to the road congestion. The data analysis shows that the route optimization model proposed in this paper can effectively reduce the distribution cost of enterprises, increase vehicle loading, and increase the profit and industry competitiveness of logistics enterprises.http://dx.doi.org/10.1155/2022/4303863 |
| spellingShingle | Jianhong Jiao Yong Liu Cuijie Xie The Optimization Model of E-Commerce Logistics Distribution Path Based on GIS Technology Advances in Multimedia |
| title | The Optimization Model of E-Commerce Logistics Distribution Path Based on GIS Technology |
| title_full | The Optimization Model of E-Commerce Logistics Distribution Path Based on GIS Technology |
| title_fullStr | The Optimization Model of E-Commerce Logistics Distribution Path Based on GIS Technology |
| title_full_unstemmed | The Optimization Model of E-Commerce Logistics Distribution Path Based on GIS Technology |
| title_short | The Optimization Model of E-Commerce Logistics Distribution Path Based on GIS Technology |
| title_sort | optimization model of e commerce logistics distribution path based on gis technology |
| url | http://dx.doi.org/10.1155/2022/4303863 |
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