Optimisation of Land-Air Combined Logistics Strategy Based on SubQUBO

Optimizing combined land and air logistics strategies is a common challenge in the logistics and distribution industry. The complexity of this combined mode of transport is that it involves the selection and coordination of multiple cities and modes of transport, as well as how to minimize transport costs while meeting the demand for goods. The research on this topic helps to improve logistics efficiency, which can enhance consumer satisfaction with e-commerce platforms and also effectively reduce transport costs. In this paper, we first establish the corresponding QUBO matrix based on the land-air joint logistics problem, and with the help of Kaiwu SDK, we give the optimal truck leasing scheme and cargo transport scheme, which effectively improves the quality and efficiency of the solution and reduces the operation cost. Then based on the subQUBO method, the problem of the computational upper limit of the Ising machine is solved, and a quasi-basis state solution scheme for large QUBO problems is provided. It is shown that complex optimization problems in logistics and distribution can be effectively solved by applying advanced techniques such as subQUBO, CIM and simulated annealing.