Design and Optimization of E-Commerce Logistics Distribution System Based on Multiobjective Function
To reduce the complexity and multiple constraints of logistics distribution routing problems, the author proposes an improved genetic algorithm, adaptive immune genetic algorithm (AIGA). The algorithm utilizes a new immune vaccine selection strategy and immune operation method, the optimization proc...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
|
| Series: | Journal of Control Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2022/6564615 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832548841314844672 |
|---|---|
| author | Hui Wen |
| author_facet | Hui Wen |
| author_sort | Hui Wen |
| collection | DOAJ |
| description | To reduce the complexity and multiple constraints of logistics distribution routing problems, the author proposes an improved genetic algorithm, adaptive immune genetic algorithm (AIGA). The algorithm utilizes a new immune vaccine selection strategy and immune operation method, the optimization process is adaptively changed with the evolutionary algebra, combined with the parallel selection method to optimize the multiobjective logistics distribution path, and the specific steps to solve the multiobjective logistics distribution path problem are given. The experimental results show that the optimal path is calculated as 0—2—8—5—3—1—0; 0—4—7—6—0. AIGA not only efficiently converges to the optimal solution but also stabilizes to a fitness value of 66.5, reflecting better precision than IGA. The computational efficiency and convergence of the algorithm are significantly improved, which verifies the practicability and effectiveness of the algorithm. The adaptive immune genetic algorithm realizes the path optimization of complex logistics distribution, which can better change the global search performance of the original immune genetic algorithm, greatly improve the algorithm convergence speed, and achieve good results in practical applications. |
| format | Article |
| id | doaj-art-b1248c9158be435eb3be3baa94eb97ad |
| institution | Kabale University |
| issn | 1687-5257 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Control Science and Engineering |
| spelling | doaj-art-b1248c9158be435eb3be3baa94eb97ad2025-02-03T06:12:57ZengWileyJournal of Control Science and Engineering1687-52572022-01-01202210.1155/2022/6564615Design and Optimization of E-Commerce Logistics Distribution System Based on Multiobjective FunctionHui Wen0Henan Institute of Economics and TradeTo reduce the complexity and multiple constraints of logistics distribution routing problems, the author proposes an improved genetic algorithm, adaptive immune genetic algorithm (AIGA). The algorithm utilizes a new immune vaccine selection strategy and immune operation method, the optimization process is adaptively changed with the evolutionary algebra, combined with the parallel selection method to optimize the multiobjective logistics distribution path, and the specific steps to solve the multiobjective logistics distribution path problem are given. The experimental results show that the optimal path is calculated as 0—2—8—5—3—1—0; 0—4—7—6—0. AIGA not only efficiently converges to the optimal solution but also stabilizes to a fitness value of 66.5, reflecting better precision than IGA. The computational efficiency and convergence of the algorithm are significantly improved, which verifies the practicability and effectiveness of the algorithm. The adaptive immune genetic algorithm realizes the path optimization of complex logistics distribution, which can better change the global search performance of the original immune genetic algorithm, greatly improve the algorithm convergence speed, and achieve good results in practical applications.http://dx.doi.org/10.1155/2022/6564615 |
| spellingShingle | Hui Wen Design and Optimization of E-Commerce Logistics Distribution System Based on Multiobjective Function Journal of Control Science and Engineering |
| title | Design and Optimization of E-Commerce Logistics Distribution System Based on Multiobjective Function |
| title_full | Design and Optimization of E-Commerce Logistics Distribution System Based on Multiobjective Function |
| title_fullStr | Design and Optimization of E-Commerce Logistics Distribution System Based on Multiobjective Function |
| title_full_unstemmed | Design and Optimization of E-Commerce Logistics Distribution System Based on Multiobjective Function |
| title_short | Design and Optimization of E-Commerce Logistics Distribution System Based on Multiobjective Function |
| title_sort | design and optimization of e commerce logistics distribution system based on multiobjective function |
| url | http://dx.doi.org/10.1155/2022/6564615 |
| work_keys_str_mv | AT huiwen designandoptimizationofecommercelogisticsdistributionsystembasedonmultiobjectivefunction |