Study on Cold Chain Transportation Model of Fruit and Vegetable Fresh-Keeping in Low-Temperature Cold Storage Environment
Due to the limitation of later stage intelligent algorithms, the fruit and vegetable fresh-keeping cold chain transportation scheme did not meet the expectation and could not achieve the dual objectives of the shortest time and the lowest consumption at the same time. In order to solve the above pro...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2021/8445028 |
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| author | Xiaolong Jiao Wen Xu Lintong Duan |
| author_facet | Xiaolong Jiao Wen Xu Lintong Duan |
| author_sort | Xiaolong Jiao |
| collection | DOAJ |
| description | Due to the limitation of later stage intelligent algorithms, the fruit and vegetable fresh-keeping cold chain transportation scheme did not meet the expectation and could not achieve the dual objectives of the shortest time and the lowest consumption at the same time. In order to solve the above problems, a cold chain transportation model of fruit and vegetable fresh-keeping in a low-temperature cold storage environment is proposed. The model is based on the topology of the cold chain transportation network. By setting the assumptions of the fruit and vegetable fresh-keeping cold chain transportation model, the objective model is composed of three parts: vehicle power fuel consumption cost, cold chain transportation refrigeration cost, and total fruit and vegetable loss cost. Under six constraints, the improved ant colony algorithm is used to find the optimal fruit and vegetable fresh-keeping cold chain transportation route. The experimental results show that compared with the methods based on ALNS, genetic algorithm, and quantum bacterial foraging optimization algorithm, the research method can bring the best comprehensive benefit by accomplishing the fruit and vegetable transportation task in the shortest time at the lowest cost, and the research goal is thus achieved. |
| format | Article |
| id | doaj-art-36b3aa5b22634cfaae031581b77bd3ec |
| institution | Kabale University |
| issn | 1607-887X |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-36b3aa5b22634cfaae031581b77bd3ec2025-02-03T01:27:18ZengWileyDiscrete Dynamics in Nature and Society1607-887X2021-01-01202110.1155/2021/8445028Study on Cold Chain Transportation Model of Fruit and Vegetable Fresh-Keeping in Low-Temperature Cold Storage EnvironmentXiaolong Jiao0Wen Xu1Lintong Duan2Hebei Vocational University of Industry and TechnologyHebei Vocational University of Industry and TechnologyHebei Vocational University of Industry and TechnologyDue to the limitation of later stage intelligent algorithms, the fruit and vegetable fresh-keeping cold chain transportation scheme did not meet the expectation and could not achieve the dual objectives of the shortest time and the lowest consumption at the same time. In order to solve the above problems, a cold chain transportation model of fruit and vegetable fresh-keeping in a low-temperature cold storage environment is proposed. The model is based on the topology of the cold chain transportation network. By setting the assumptions of the fruit and vegetable fresh-keeping cold chain transportation model, the objective model is composed of three parts: vehicle power fuel consumption cost, cold chain transportation refrigeration cost, and total fruit and vegetable loss cost. Under six constraints, the improved ant colony algorithm is used to find the optimal fruit and vegetable fresh-keeping cold chain transportation route. The experimental results show that compared with the methods based on ALNS, genetic algorithm, and quantum bacterial foraging optimization algorithm, the research method can bring the best comprehensive benefit by accomplishing the fruit and vegetable transportation task in the shortest time at the lowest cost, and the research goal is thus achieved.http://dx.doi.org/10.1155/2021/8445028 |
| spellingShingle | Xiaolong Jiao Wen Xu Lintong Duan Study on Cold Chain Transportation Model of Fruit and Vegetable Fresh-Keeping in Low-Temperature Cold Storage Environment Discrete Dynamics in Nature and Society |
| title | Study on Cold Chain Transportation Model of Fruit and Vegetable Fresh-Keeping in Low-Temperature Cold Storage Environment |
| title_full | Study on Cold Chain Transportation Model of Fruit and Vegetable Fresh-Keeping in Low-Temperature Cold Storage Environment |
| title_fullStr | Study on Cold Chain Transportation Model of Fruit and Vegetable Fresh-Keeping in Low-Temperature Cold Storage Environment |
| title_full_unstemmed | Study on Cold Chain Transportation Model of Fruit and Vegetable Fresh-Keeping in Low-Temperature Cold Storage Environment |
| title_short | Study on Cold Chain Transportation Model of Fruit and Vegetable Fresh-Keeping in Low-Temperature Cold Storage Environment |
| title_sort | study on cold chain transportation model of fruit and vegetable fresh keeping in low temperature cold storage environment |
| url | http://dx.doi.org/10.1155/2021/8445028 |
| work_keys_str_mv | AT xiaolongjiao studyoncoldchaintransportationmodeloffruitandvegetablefreshkeepinginlowtemperaturecoldstorageenvironment AT wenxu studyoncoldchaintransportationmodeloffruitandvegetablefreshkeepinginlowtemperaturecoldstorageenvironment AT lintongduan studyoncoldchaintransportationmodeloffruitandvegetablefreshkeepinginlowtemperaturecoldstorageenvironment |