In the context of economic integration, the logistics industry has become one of the economic pillars, and composite intermodal transportation has become an important mode of transportation in the logistics industry.The air-rail-sea composite operation is used as the research object, different search spaces are constructed, and the boundary conditions are determined and analyze freight impact parameters time, cost, distance. Based on the genetic algorithm, the established air-rail-sea composite transport model was solved and the path optimization was carried out. Three groups of node groups were identified, each of which included three situations: general cargo, special cargo, and route congestion, which optimized the cost, time and distance respectively, and provided a basis for the path selection of composite intermodal transport business. Through analysis, the optimal time route, the optimal cost route and the optimal distance route in the specified search space are selected. It is expected that the purpose of reducing costs and increasing efficiency, reducing risks and improving industry competitiveness can be achieved in the process of logistics and transportation.