Research on Multi-objective Storage Optimization of Dangerous Goods in Ports

The port storage of dangerous goods has the characteristics of large quantity and variety, and it is difficult to manage in the daily safety management process. Combining the business process of dangerous goods containers and the nature of dangerous goods in ports, management optimization of dangerous goods warehouses in port container yards was studied from the perspective of safety and economy. An optimization model was established under the conditions of entry time, exit time, type and quality of hazardous chemicals airlines, destination ports, etc. An improved non-dominated sorting genetic algorithm based on the elite strategy is proposed to solve the optimization model, which avoids the problem of local optimal solutions that are prone to traditional genetic algorithms. The research conclusions of the thesis are of great significance for improving the work efficiency and safety management level of the port container yard.