Multi-objective Joint Optimization of Ammunition Reserve and Scheduling
Ammunition reserve and scheduling,an important link of ammunition support,has a bear-ing on whether or not the ammunition support task can be completed in a timely,accurate,and reliable manner.In order to solve the problem of joint optimization of two-level ammunition reserve and schedu-ling,with the optimization objectives of minimizing the total delay time,the minimum total cost and the maximum actual quantity delivered,considering the uncertainty of scheduling time,a multi-objective joint optimization model of ammunition reserve and scheduling is established,and the multi-objective model is transformed into a single-objective model by the linear weighted sum method,and then solving it using a particle swarm optimization(PSO)algorithm with a penalty function.Finally,the effectiveness of the model and solution algorithm is verified through a numerical example.Compared with a single-objective optimization strategy,the objective function constructed in this paper can effectively reflect the weight co-efficients obtained from the expert evaluation method,and can balance all optimization objectives.In con-clusion,this study can provide valuable references for the scientific development of ammunition reserve and scheduling.