Optimal Scheduling Method of Transport Path in Coastal Port International Logistics Park

In order to improve the dynamic optimization control ability of coastal port international logistics park transportation and transportation, an optimal scheduling method of coastal port international logistics park transport path based on artificial intelligence path constraint is proposed. The multi-objective evolution method is used to control the path constraint of the transport path optimization scheduling of the coastal port international logistics park, and the bee colony method is used to optimize the route selection of the transport path optimization scheduling of the coastal port international logistics park. The multi-objective Pareto mapping method is used to carry out the path planning and design of the coastal port international logistics park transport. Combined with pheromone guidance method, the adaptive control of transport path optimization scheduling of coastal port international logistics park is carried out, and the bee colony evolutionary optimization model of coastal port international logistics park transport path optimization scheduling is constructed, and the artificial intelligence algorithm of coastal port international logistics park transport path optimization scheduling is constructed according to the colony path constraint optimization method. Artificial intelligence control and adaptive optimization of transport path optimal scheduling in coastal port international logistics park are realized. The simulation results show that this method has good adaptive performance and strong path optimization control ability for the optimal scheduling of transport paths in coastal port international logistics parks.