微型电脑应用

随着人工智能和电子商务的发展，物流作为第三利润源泉逐渐浮出水面。文章以乌鲁木齐邮政速递作为研究对象，分析了乌鲁木齐邮政速递城市共同配送存在的问题，以整体效益最高为目标，结合节约里程法和遗传算法的优缺点，构建基于遗传算法的物流配送路径优化模型。利用MATLAB软件对建立的数学模型仿真求解，对比分析了乌鲁木齐邮政速递在物流配送路径优化前后的路径、里程和成本等，验证了优化模型的可行性。

With the development of artificial intelligence and e-commerce, logistics is emerging as the third source of profit. In this paper, taking Urumqi Post Express as the research object, aiming at the problems existing in urban joint distribution of Urumqi Post Express, and combining the advantages and disadvantages of mileage saving method with the genetic algorithm, an optimization model of logistics distribution path based on genetic algorithm is established. MATLAB is used to simulate and solve the established mathematical model, and the route, mileage and cost of Urumqi Express before and after the optimization of logistics distribution path are compared and analyzed, and the feasibility of the optimization model is verified.