E-Commerce Logistics Distribution based on Simulated Annealing Algorithm

The continuous development and popularization of e-commerce have put forward higher requirements for logistics and distribution. Traditional logistics delivery methods have common problems, such as low efficiency and high costs. Simulated annealing algorithm is a global optimization algorithm, which can be used to solve these problems. The research of e-commerce logistics distribution based on Simulated annealing algorithm is a research work to find the optimal solution of e-commerce logistics distribution problem. The main purpose of this study is to find the best solution to e-commerce logistics distribution problems, in order to reduce costs and improve profitability. The main idea of this research work is that by using simulation methods, it is possible to obtain more accurate results than other methods such as mathematical modeling or statistical analysis. This makes it easier to understand how different variables interact with each other. The experimental results show that the optimized path distance of this algorithm can better converge to the optimal solution, indicating that this algorithm is an effective algorithm for solving the problem of logistics distribution path selection.