Abstract

To solve the problems of warehouse explosion and delay of logistics distribution network under the sudden explosion of demand on “double 11” and “618,” this paper proposes a logistics distribution network location algorithm that can consider reliability, green environmental protection, and path optimization. Firstly, the transportation model of logistics distribution network location-route optimization is established. Under the condition that the transportation model satisfies the vehicle path reliability constraint, it can minimize the total cost, including logistics distribution cost, transportation oil consumption, and CO2 emission cost. This paper designs an improved imperial competition algorithm to solve it according to the characteristics of the transportation model. Firstly, the competition mechanism of “United Lian Heng” was introduced in the initial national stage, enhancing the information exchange and retaining the superior population. Secondly, in the process of empire assimilation, we can learn from the colonial rule strategy, which is gradually infiltrated and assimilated by all levels of the country to enhance the development ability of the algorithm. Finally, the algorithm designs a mechanism to judge and jump out of local optimum, so as to avoid “premature” affecting the optimization performance. The rationality of the model and the effectiveness of the improved imperial competition algorithm are verified by simulation experiments of different scales, while the influence of reliability level is analyzed. Experimental results show that the proposed method can effectively solve problems of different scales and maintain stable performance under different reliability levels. Moreover, its algorithm performance is better than that of the standard imperial competition algorithm.

Highlights

  • Under the background of regional economic integration and Internet, e-commerce logistics and distribution have developed rapidly

  • Considering reliability and green environmental protection, this paper studies the location path optimization problem of reliable green logistics distribution in order to deal with the warehouse explosion and delay of logistics distribution network under the sudden demand explosion of “double 11” and “618.”

  • Different from the existing research on location routing problem (LRP), this paper calculates the fuel consumption and CO2 emission cost based on the network for transport and environment (NTM) method and defines the vehicle routing reliability. is algorithm aims at minimizing the total cost and establishing the logistics distribution location routing optimization model with vehicle routing reliability constraints, designing an improved imperial competition algorithm to solve the transportation model. e improved algorithm explores and solves the problems that the original imperial competitive algorithm (ICA) is greatly influenced by the initial country, lacking effective information interaction between empires. e algorithm is easy to be collected and can be collected early

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Summary

Introduction

Under the background of regional economic integration and Internet, e-commerce logistics and distribution have developed rapidly. Considering the interruption risk of the distribution center, Huang et al studied the reliable fourthparty logistics routing problem in network design. Considering reliability and green environmental protection, this paper studies the location path optimization problem of reliable green logistics distribution in order to deal with the warehouse explosion and delay of logistics distribution network under the sudden demand explosion of “double 11” and “618.”. Different from the existing research on LRP, this paper calculates the fuel consumption and CO2 emission cost based on the network for transport and environment (NTM) method and defines the vehicle routing reliability. Is algorithm aims at minimizing the total cost and establishing the logistics distribution location routing optimization model with vehicle routing reliability constraints, designing an improved imperial competition algorithm to solve the transportation model. The rationality of the model and the effectiveness of the algorithm are verified by experiments

Problem Description and Model Establishment
Experimental Results and Analysis
Conclusion
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