基于蚁群算法的军用车辆器材装箱配载问题  

Packing Stowage of Military Vehicle Parts Based on Ant Colony Algorithm

作　　者：郭向阳[1] 杨冰峰[1] 张春和[1] 

机构地区：[1]军事交通学院,天津300161

出　　处：《包装工程》2016年第11期195-198,共4页Packaging Engineering

摘　　要：目的对军用车辆器材装箱配载问题进行合理优化,以提高集装箱的空间利用率。方法阐述了军用车辆器材装箱配载问题的重要性,并对装箱配载问题进行理论分析,应用蚁群算法建立数学模型和实现流程,通过实例分析验证该算法的合理性。结果利用蚁群算法模拟与优化装箱配载问题使集装箱利用率达到了88.96%,并确定出了最优的装箱配载方案。结论蚁群算法能够对军用车辆器材装箱配载问题进行合理优化。The reasonable optimization of military vehicle equipment container loading was conducted, in order to improve the utilization rate of container space. The importance of military vehicle equipment container stowage problem was expounded, the packing and stowage problem was theoretically analyzed, ant colony algorithm was applied to establish mathematical model and implement the process, and the rationality of the algorithm was verified through case analysis. Using ant colony algorithm to simulate and optimize container loading problem, the container utilization rate reached 88.96%, and the optimal container stowage plan was determined. The ant colony algorithm could be used to reasonably optimize the military vehicle equipment container loading problem.

关 键 词：军用车辆器材 装箱配载 蚁群算法 优化 

分 类 号：TB485.3[一般工业技术—包装工程]