The Application of an Improved HHO Algorithm in the Location of Perishable Goods Distribution Center
In order to ensure that urban emergency supplies can be delivered to the demand point in a timely and accurate manner,especially for special emergency supplies with a short life cycle'perishable goods,its timeliness requirements are higher.Based on the emergency scenario of sud-den public health events,this paper establishes a multi-objective location model of urban perisha-ble goods distribution center with the goal of minimizing transportation time and transportation cost and maximizing relative coverage area.The Harris Hawk optimization algorithm(HHO)is improved to achieve an effective solution to the multi-objective location problem of perishable goods distribution center.In order to verify the effectiveness of the model,a district in Shanghai is selected as a research example.The results show that the improved HHO algorithm can solve the location model of perishable goods distribution center under actual urban road conditions,and can provide an intuitive multi-objective location optimization scheme.
万方数据
维普
