A Study on the Optimization of Chain Supermarkets’ Distribution Route Based on the Quantum‐Inspired Evolutionary Algorithm

Abstract

The chain supermarket has become a major part of China’s retail industry, and the optimization of chain supermarkets’ distribution route is an important issue that needs to be considered for the distribution center, because for a chain supermarket it affects the logistics cost and the competition in the market directly. In this paper, analyzing the current distribution situation of chain supermarkets both at home and abroad and studying the quantum-inspired evolutionary algorithm (QEA), we set up the mathematical model of chain supermarkets’ distribution route and solve the optimized distribution route throughout QEA. At last, we take Hongqi Chain Supermarket in Chengdu as an example to perform the experiment and compare QEA with the genetic algorithm (GA) in the fields of the convergence, the optimal solution, the search ability, and so on. The experiment results show that the distribution route optimized by QEA behaves better than that by GA, and QEA has stronger global search ability for both a small-scale chain supermarket and a large-scale chain supermarket. Moreover, the success rate of QEA in searching routes is higher than that of GA.

Optimizing Distribution Routes for Chain Supermarket Considering Carbon Emission Cost

“…There are still unreasonable transportation phenomena in logistics distribution, such as repeated transportation, detour transportation, convective transportation, and empty vehicle return, which lead to low distribution efficiency and high transportation costs in distribution centers. In response to the above issues, they proposed the quantum evolutionary algorithm (QEA), established a mathematical model for optimizing the distribution routes of chain supermarkets, and conducted a scientific and reasonable optimization design for the distribution routes [18]. Liu et al focused on cold chain logistics and analyzed the current situation of cold chain logistics distribution terminals in three specific industries: electronics commerce, supermarkets, and the food and beverage industry.…”

Simulation Research on Logistics Distribution Path Based on Colony Intelligence Optimisation

“…The study of logistics distribution path optimization problems can provide enterprises with low-cost and high-efficiency distribution path solutions, which is the main research direction in the field of logistics at present [9][10][11]. The study of the logistics distribution path optimization problem aims to combine the actual scenarios and needs of logistics distribution links, establish a suitable problem model, and design optimization algorithms to solve the problem so as to find a path solution that meets the needs of the customer and minimizes the distribution cost [12][13][14].…”