考虑碳排放及时间满意度的高铁快运"站到门"配送优化模型及算法研究OA北大核心

Under the background of carbon peaking and carbon neutrality goals,there are high distribution costs,low service capability and difficulty in solving the terminal distribution in the"station-to-door"distribution stage of high speed railway(HSR)express.To solve these problems,combining with the characteristics of HSR express business,the Sigmoid drop index was introduced.The"station-to-door"distribution time satisfaction function was obtained through function transformation.The customer importance was determined by the first freight rate of different product types of HSR express.The multi-objective optimization model of the"station-to-door"distribution of HSR express was constructed with the goal of service satisfaction,transportation economic cost,and carbon emission.A fast non-dominated sorting multi-objective whale optimization algorithm(FNSMWOA)was proposed and designed to address the shortcomings of the whale optimization algorithm(WOA)that easily falls into local optimization solution.The algorithm was utilized to solve the problem.The effectiveness of the proposed model and algorithm was verified by an example.The results show that the FNSMWOA has performed better in both global search ability and local search ability.The Pareto solution frontier solution was obtained by experiments,with the Pareto optimal solution scheme considering different optimization purposes,which provides a new idea for the optimization of the"station-to-door"distribution of HSR express.