摘要
随着“互联网+”思维和图书馆服务模式与水平的发展,纸质资源的物流配送成为图书馆借阅平台的最后环节。如何在智慧图书馆智能服务平台中降低图书馆的配送成本、均衡配送员的工作量、提升配送效率是智慧服务的研究方向。在智能计算研究中,解决TSP旅行商问题常采用蚁群算法,因为蚁群算法能利用信息正反馈和启发式信息诱导,从而找出多目标遍历的最优解。针对图书馆馆际与社区物流配送的多旅行商MTSP问题,使用混合蚁群优化算法来实现图书纸质资源最后配送路径最优化处理,可以更好地实现配送效率的综合提升。图书馆高效率优质服务可以更好地提升阅读质量。
With the development of“Internet plus”thinking and library service mode and level,the logistics distribution of pa‐per 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 travel‐ing 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 bet‐ter realize the comprehensive improvement of delivery efficiency.The efficient and high-quality library services can better im‐prove the quality of reading.
作者
江新姿
安晓丽
高尚
JIANG Xinzi;AN Xiaoli;GAO Shang(Library of Jiangsu University of Science and Technology,Zhenjiang 212004,China;School of Computer Science,Jiangsu University of Science and Technology,Zhenjiang 212004,China)
出处
《计算机与现代化》
2024年第9期52-55,60,共5页
Computer and Modernization
基金
国家自然科学基金资助项目(62176107)。
关键词
智慧配送
多旅行商问题
混合蚁群优化算法
intelligent delivery
problem of multiple travel agents
hybrid ant colony optimization algorithm
