Affiliation:
1. School of Logistics, Henan Communications Polytechnics, Zhengzhou, Henan 450015, China
Abstract
In order to solve the problem of regional logistics distribution, a study on the optimization of regional logistics distribution information network platform is proposed. Firstly, in order to meet the development requirements of regional logistics and improve customer satisfaction, the regional logistics path is optimized to solve the problem of long time consumption for the optimization algorithm of regional logistics distribution path to find the optimal path. The clustering algorithm is used to divide the logistics distribution area, and the multiobjective function of logistics distribution path optimization is established, mainly including weight index, timeliness index, customer importance index, time window index, and total path index. The distribution target weight is set to find the best target path, so as to realize the optimization of regional logistics distribution path. The experimental results show that the time for the designed optimization algorithm to find the optimal path is less than 2 minutes, while the time for the traditional algorithm to find the optimal path is more than 3 minutes, up to 4.6 minutes. The comparison shows that the traditional algorithm takes more time to find the optimal path in five times than the algorithm designed this time. Therefore, the optimization method of this design takes less time to find the optimal path than the traditional method, which proves the effectiveness of the regional logistics distribution path optimization algorithm.
Funder
Research on Document and Certificate Financing Mode Based on “1+X” Certificate System
Subject
Computer Networks and Communications,Information Systems
Reference24 articles.
1. On the average case behavior of the multidimensional assignment problem;D. A. Grundel;Pacific Journal of Optimization,2004
2. Study of logistics distribution in the complex road network;W. U. Jie-Ming;Microelectronics & Computer,2011
3. Robust Collaborative Learning of Patch-Level and Image-Level Annotations for Diabetic Retinopathy Grading From Fundus Image
4. Study on optimization of coal logistics network based on hybrid genetic algorithm;J. Li;International Journal of Innovative Computing Information and Control,2019
5. Genetic algorithms in the design of complex distribution networks
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