Отрывок: Other parameters required for the experiment are shown in Table 3. The start-up cost (c1) of each vehicle was 8 yuan, the driving cost (c2) was 10 yuan / km, the waiting cost (w) was 0.5 yuan / h, the penalty cost (1) was 1.5 yuan/h, and the rest were parameters of GA. Analysis of logistics distribution path optimization planning based on traffic network data H.H. Li, H.R. Fu, W.H. Li Компьютерная оптика, 2021, том 45, №1 DOI: 10.18287/2412-6179-CO-732 157 ...
Полная запись метаданных
Поле DC | Значение | Язык |
---|---|---|
dc.contributor.author | Li, H.H. | - |
dc.contributor.author | Fu, H.R. | - |
dc.contributor.author | Li, W.H. | - |
dc.date.accessioned | 2021-03-01 10:21:03 | - |
dc.date.available | 2021-03-01 10:21:03 | - |
dc.date.issued | 2021-02 | - |
dc.identifier | Dspace\SGAU\20210228\87763 | ru |
dc.identifier.citation | Li HH, Fu HR, Li WH. Analysis of logistics distribution path optimization planning based on traffic network data. Computer Optics 2021; 45(1): 154-160. DOI: 10.18287/2412-6179-CO-732. | ru |
dc.identifier.uri | https://dx.doi.org/10.18287/2412-6179-CO-732 | - |
dc.identifier.uri | http://repo.ssau.ru/handle/Zhurnal-Komputernaya-optika/Analysis-of-logistics-distribution-path-optimization-planning-based-on-traffic-network-data-87763 | - |
dc.description.abstract | With the development of economy, the distribution problem of logistics becomes more and more complex. Based on the traffic network data, this study analyzed the vehicle routing problem (VRP), designed a dynamic vehicle routing problem with time window (DVRPTW) model, and solved it with genetic algorithm (GA). In order to improve the performance of the algorithm, the genetic operation was improved, and the output solution was further optimized by hill climbing algorithm. The analysis of example showed that the improved GA algorithm had better performance in path optimization planning, the total cost of planning results was 31.44 % less than that of GA algorithm, and the total cost of planning results increased by 11.48 % considering the traffic network data. The experimental results show that the improved GA algorithm has good performance and can significantly reduce the cost of distribution and that research on VRP based on the traffic network data is more in line with the actual situation of logistics distribution, which is conducive to the further application of the improved GA algorithm in VRP. | ru |
dc.language.iso | en | ru |
dc.publisher | Самарский национальный исследовательский университет | ru |
dc.relation.ispartofseries | 45;1 | - |
dc.subject | Traffic network data | ru |
dc.subject | logistics distribution | ru |
dc.subject | path optimization | ru |
dc.subject | genetic algorithm | ru |
dc.subject | time window | ru |
dc.title | Analysis of logistics distribution path optimization planning based on traffic network data | ru |
dc.type | Article | ru |
dc.textpart | Other parameters required for the experiment are shown in Table 3. The start-up cost (c1) of each vehicle was 8 yuan, the driving cost (c2) was 10 yuan / km, the waiting cost (w) was 0.5 yuan / h, the penalty cost (1) was 1.5 yuan/h, and the rest were parameters of GA. Analysis of logistics distribution path optimization planning based on traffic network data H.H. Li, H.R. Fu, W.H. Li Компьютерная оптика, 2021, том 45, №1 DOI: 10.18287/2412-6179-CO-732 157 ... | - |
Располагается в коллекциях: | Журнал "Компьютерная оптика" |
Файлы этого ресурса:
Файл | Описание | Размер | Формат | |
---|---|---|---|---|
450118.pdf | Основная статья | 1.13 MB | Adobe PDF | Просмотреть/Открыть |
Показать базовое описание ресурса
Просмотр статистики
Поделиться:
Все ресурсы в архиве электронных ресурсов защищены авторским правом, все права сохранены.