计算机工程与应用Issue(22)：258-265,8.DOI:10.3778/j.issn.1002-8331.1502-0007
基于改进PSO的装备维修器材调剂供应决策
Decision-making of equipment maintenance materiel adjusting supply based on improved PSO
于双双 1王铁宁 1可荣博 2李宁3
作者信息
- 1. 装甲兵工程学院 技术保障工程系，北京 100072
- 2. 中国人民解放军 61377部队
- 3. 中国人民解放军 78416部队
- 折叠
摘要
Abstract
The existing problems in equipment maintenance materiel storage support is analyzed at first, then adjusting supply is put forward to alleviate the problem of imbalanced resource storage, in which the over-stocked materiel is well used to satisfy the units lack of materiel. The multi objective decision-making model of equipment maintenance materiel adjusting supply is established, and simplified adopting ε-constraint method;the improved Particle Swarm Optimization algorithm(PSO)is designed based on guiding factor to solve the model, and verified through simulation experiment. The result shows that through adjusting supply the storage resources in the support system can be balanced effectively and the support efficiency of equipment maintenance materiel is enhanced as well.关键词
装备维修器材/调剂供应/决策/改进粒子群优化算法Key words
equipment maintenance materiel/adjusting supply/decision-making/improved Particle Swarm Optimization (PSO)分类
信息技术与安全科学引用本文复制引用
于双双,王铁宁,可荣博,李宁..基于改进PSO的装备维修器材调剂供应决策[J].计算机工程与应用,2015,(22):258-265,8.
