Research on green logistics distribution path based on genetic algorithm

With the rapid development of e-commerce, logistics and distribution industry is facing great challenges and opportunities. In order to realize green and efficient logistics distribution, this paper puts forward the research method of green logistics distribution route based on genetic algorithm. Genetic algorithm as an optimization algorithm simulating natural selection and genetic mechanism, has significant advantages in solving complex path optimization problems. The aim of this study is to find the optimal logistics distribution path through genetic algorithm to reduce the distribution cost and reduce environmental pollution. This paper first describes the basic principle and characteristics of genetic algorithm, and then according to the actual demand of logistics distribution, makes reasonable assumptions about the problem, and establishes the corresponding mathematical model. In the process of model construction, the research fully considers the distribution distance, vehicle load, time window limit and carbon emission and other factors to ensure that the resulting routing scheme is both economical and environmentally friendly. The experimental results show that compared with the traditional route scheme, the green logistics distribution route scheme optimized by genetic algorithm can significantly reduce the distribution cost and carbon emission.