Multi-Objective Sensor Optimization Problem of Hazardous Materials Logistics Transportation

摘要

A multi-objective sensor optimization model of hazardous materials logistics transportation is created in this paper, considering security and logistics transportation cost. The model take the minimum transportation cost, minimum total number of used vehicles, minimum total number of densely populated areas that vehicles have passed, and minimum total number of restricted areas that vehicles have passed as objective functions. Some defects existed in vehicle scheduling model based on risk analysis, such as, difficult to obtain a large number of statistics and guarantee the reliability of the model parameters, can be avoided in this model. Therefore, this model is of higher applicability and operability. An improved genetic algorithm was presented to solve the proposed model. Finally, the numerical example is given to illustrate how to apply the model to provide decision scheme for the hazmat transportation enterprises to transport dangerous goods.