关键词: 智慧配送, 多旅行商问题, 混合蚁群优化算法

Abstract: With the development of “Internet plus” thinking and library service mode and level， the logistics distribution of paper resources has become the last link of the library borrowing platform. How to reduce the delivery cost of the library， balance the workload of delivery personnel， and improve delivery efficiency in the smart library intelligent service platform is the research direction of smart services. In intelligent computing research， the ant colony algorithm is commonly used to solve the TSP traveling salesman problem， as it can utilize positive feedback and heuristic information induction to find the optimal solution for multi-objective traversal. Aiming at the multi-travel agent MTSP problem of interlibrary and community logistics distribution， the hybrid ant colony optimization algorithm is used to optimize the final distribution path of book paper resources， which can better realize the comprehensive improvement of delivery efficiency. The efficient and high-quality library services can better improve the quality of reading.

Key words: intelligent delivery, problem of multiple travel agents, hybrid ant colony optimization algorithm