Faced with the complex environment of high-altitude areas, single-model unmanned ground vehicles are limited by factors such as altitude and temperature, making it difficult for them to perform support tasks independently. Therefore, multi-model unmanned vehicle integrated support has become a hot research direction. Aiming at the problem of multi-model unmanned vehicle material support in high-altitude areas, an optimisation model for multi-model unmanned vehicle material support in high-altitude areas based on an improved genetic algorithm has been established. The path planning and optimisation indicators of the support plan were defined, and the genetic algorithm was improved and designed. On this basis, a simulation experiment was carried out. The results showed that for routine support tasks, compared with the original support plan, the method proposed in this paper optimised the number of multi-type unmanned ground vehicles in the support plan by 31.1% and the number of transit warehouses by 33.3%. For wartime support tasks, the transport of ammunition supplies can be completed within 29 h, which verifies the effectiveness and rationality of the method in this paper and provides auxiliary support to staff officers in formulating support plans.