Abstract
This paper proposes a green logistics location-routing optimization problem based on improved genetic algorithm (GA) from the perspective of low-carbon and environmental protection. First, considering the cost factor, time window, deterioration rate of agricultural products, inventory and distribution capacity, carbon trading mechanism, and other factors, and with the total cost minimization as the optimization goal, a low-carbon and environmental protection logistics location-routing optimization model is constructed. Then, the adaptive operator and cataclysm operator are introduced to improve the GA algorithm, which can adjust crossover and mutation probability according to the needs, reducing the influence of parameters and running time. Furthermore, the improved GA algorithm is used to solve the location-routing optimization problem in green logistics, so as to obtain a low-carbon, economical, and efficient distribution path. Finally, perform experimental analysis of the proposed method using the relevant data of U company. The results show that the total distribution cost is 6771.3 yuan, which meets the design requirements of economy and environmental protection.
Highlights
With the development of modern logistics to informatization, globalization, and integration, distribution plays an important role in the entire logistics system [1]
Since the energy consumption and carbon emissions of cold chain logistics are usually much higher than those of traditional room temperature logistics, the location of distribution points and optimization of transportation routes show a strong correlation with energy consumption and emissions
Taking green logistics as the research object, consider the location-routing optimization problem for cold chain distribution of fresh agricultural products based on carbon trading. is has a certain theoretical significance and has great practical significance [4]
Summary
With the development of modern logistics to informatization, globalization, and integration, distribution plays an important role in the entire logistics system [1]. (3) In order to realize the low-carbon and environmental protection of distribution route, the proposed method constructs a green logistics location-routing optimization problem model It considers cost factors, time window, deterioration rate of agricultural products, inventory capacity and distribution capacity, carbon trading mechanism, and other influencing factors and takes the minimization of total cost as optimization goal. Reference [19] proposed a single-objective optimization scheme based on the particle swarm optimization algorithm for the VRP problem It effectively minimized the cost of logistics and distribution, but did not involve timeliness and carbon emission factors. Reference [20] proposed an optimization scheme based on improved ant colony algorithm for multiobjective solution of cost, carbon emission, and customer satisfaction in the logistics distribution process. On the basis of ensuring customer satisfaction, this solution effectively reduced distribution costs and carbon emissions
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