基于多目标的弹药储备与调运联合优化
Multi-objective Joint Optimization of Ammunition Reserve and Scheduling
朱曦 1姚恺 1郭爱强 1吴巍屹 1李凯 2高欣宝1
作者信息
- 1. 陆军工程大学 石家庄校区,河北 石家庄 050003
- 2. 32670部队,辽宁 朝阳 122000
- 折叠
摘要
弹药储备与调运是弹药保障的重要环节,关系到能否及时、准确、可靠地完成弹药保障任务.针对两级弹药储备与调运联合优化问题,以总延误时间最短、总成本最低和实际到货数量最多为优化目标,考虑运输时间的不确定性,建立了多目标弹药储备与调运联合优化模型,采用线性加权和法将多目标模型转化为单目标模型,并利用带罚函数的粒子群优化(particle swarm optimization,PSO)算法求解.通过算例对模型和求解算法的有效性进行了验证,相较于单一目标优化策略,所构建的目标函数可有效反映专家评价法得出的权系数,并能兼顾各优化目标,为科学开展弹药储备与调运工作提供有效参考.
Abstract
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.
关键词
弹药储备/弹药调运/联合优化/多目标优化Key words
ammunition reserve/ammunition scheduling/joint optimization/multi-objective optimi-zation引用本文复制引用
出版年
2024
NETL
NSTL
万方数据