Optimization Algorithm for E-commerce Order Delivery Route

With the rapid development of e-commerce, logistics distribution has become an important means for e-commerce enterprises to improve their competitiveness. This article focuses on the optimization problem of e-commerce order delivery routes, using particle swarm optimization algorithm for research, aiming to improve delivery efficiency, reduce costs, and enhance customer satisfaction. This article compares the time for solving the optimal path before and after optimization. The experimental results show that after optimizing with the particle swarm optimization algorithm, the average solving time is reduced from 67.12s to 27.49s. The research results indicate that the particle swarm optimization algorithm is superior to traditional algorithms in terms of solving efficiency and quality, providing strong support for e-commerce enterprises in fierce market competition.