Research on Swarm Intelligence Optimization of E-commerce Supply Chain Resources

To effectively improve the logistics distribution process in e-commerce supply chain, this paper proposes an intelligent scheduling strategy based on ant colony optimization algorithm to realize the dynamic allocation in supply chain management. Aiming at the shortcomings of poor convergence and easy stagnation of ant colony algorithm, we use GA to improve ant colony algorithm. The pheromone diffusion strategy and the improved pheromone global update mechanism are introduced, and the corresponding scheme of the improved algorithm in the logistics distribution path optimization problem is described in detail. Finally, the key functions and processes of the system are tested through an e-commerce case. The results show that the proposed scheme has high computational performance and convergence time, which can deliver more orders on time, and improves the efficiency of e-commerce supply allocation business.