Optimization of perishable agricultural products logistics distribution path based on IACO-time window constraint
With the development of modern logistics industry, the cold chain logistics distribution of perishable agricultural products has become an important link to ensure food quality and safety. Aiming at the complicated situation in the process of perishable agricultural products transportation path plan...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-11-01
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| Series: | Intelligent Systems with Applications |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667305323001072 |
| _version_ | 1797526208658800640 |
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| author | Xiaohong Miao Sujuan Pan Lei Chen |
| author_facet | Xiaohong Miao Sujuan Pan Lei Chen |
| author_sort | Xiaohong Miao |
| collection | DOAJ |
| description | With the development of modern logistics industry, the cold chain logistics distribution of perishable agricultural products has become an important link to ensure food quality and safety. Aiming at the complicated situation in the process of perishable agricultural products transportation path planning, a cold chain logistics distribution path optimization model based on Ant Colony Optimization (ACO) was proposed. Based on the traditional soft and hard time window constraint model, an optimized time window constraint model was proposed, and the update function of pheromone increment was substituted to optimize the traditional ant colony algorithm. An Improved Ant Colony Optimization (IACO)-time-window constrained path optimization model was proposed. The test results showed that in the convergence training experiment in Matlab environment, the research method only needed 19 iterations to reach the lowest level. In the experiment of application effect, the length of the path generated by the research method for car a was 188.93 km. Car Group a could complete 60.38 % offload at the fourth distribution node. The experimental results showed that the proposed route optimization model had better iteration efficiency and could effectively generate a shorter distance distribution path, which provides a new technical support for the route optimization of cold chain distribution of perishable agricultural products. |
| first_indexed | 2024-03-10T09:25:58Z |
| format | Article |
| id | doaj.art-b7200468eaab4d5cbbbca62e82cce6ad |
| institution | Directory Open Access Journal |
| issn | 2667-3053 |
| language | English |
| last_indexed | 2024-03-10T09:25:58Z |
| publishDate | 2023-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Intelligent Systems with Applications |
| spelling | doaj.art-b7200468eaab4d5cbbbca62e82cce6ad2023-11-22T04:49:36ZengElsevierIntelligent Systems with Applications2667-30532023-11-0120200282Optimization of perishable agricultural products logistics distribution path based on IACO-time window constraintXiaohong Miao0Sujuan Pan1Lei Chen2Business Administration College, Fujian Business University, Fuzhou 350012, China; Corresponding author.Business Administration College, Fujian Business University, Fuzhou 350012, ChinaHuagang Huaxin Logistics Co., Ltd, Pingtan 350400, ChinaWith the development of modern logistics industry, the cold chain logistics distribution of perishable agricultural products has become an important link to ensure food quality and safety. Aiming at the complicated situation in the process of perishable agricultural products transportation path planning, a cold chain logistics distribution path optimization model based on Ant Colony Optimization (ACO) was proposed. Based on the traditional soft and hard time window constraint model, an optimized time window constraint model was proposed, and the update function of pheromone increment was substituted to optimize the traditional ant colony algorithm. An Improved Ant Colony Optimization (IACO)-time-window constrained path optimization model was proposed. The test results showed that in the convergence training experiment in Matlab environment, the research method only needed 19 iterations to reach the lowest level. In the experiment of application effect, the length of the path generated by the research method for car a was 188.93 km. Car Group a could complete 60.38 % offload at the fourth distribution node. The experimental results showed that the proposed route optimization model had better iteration efficiency and could effectively generate a shorter distance distribution path, which provides a new technical support for the route optimization of cold chain distribution of perishable agricultural products.http://www.sciencedirect.com/science/article/pii/S2667305323001072Logistics and distributionACOtime windowPath optimizationPerishable agricultural products |
| spellingShingle | Xiaohong Miao Sujuan Pan Lei Chen Optimization of perishable agricultural products logistics distribution path based on IACO-time window constraint Intelligent Systems with Applications Logistics and distribution ACO time window Path optimization Perishable agricultural products |
| title | Optimization of perishable agricultural products logistics distribution path based on IACO-time window constraint |
| title_full | Optimization of perishable agricultural products logistics distribution path based on IACO-time window constraint |
| title_fullStr | Optimization of perishable agricultural products logistics distribution path based on IACO-time window constraint |
| title_full_unstemmed | Optimization of perishable agricultural products logistics distribution path based on IACO-time window constraint |
| title_short | Optimization of perishable agricultural products logistics distribution path based on IACO-time window constraint |
| title_sort | optimization of perishable agricultural products logistics distribution path based on iaco time window constraint |
| topic | Logistics and distribution ACO time window Path optimization Perishable agricultural products |
| url | http://www.sciencedirect.com/science/article/pii/S2667305323001072 |
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