郭向阳,杨冰峰,张春和.基于蚁群算法的军用车辆器材装箱配载问题[J].包装工程,2016,37(11):195-198.
GUO Xiang-yang,YANG Bing-feng,ZHANG Chun-he.Packing Stowage of Military Vehicle Parts Based on Ant Colony Algorithm[J].Packaging Engineering,2016,37(11):195-198. |
| 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 |
| 投稿时间：2016-01-26 修订日期：2016-06-10 |
| DOI： |
| 中文关键词: 军用车辆器材 装箱配载 蚁群算法 优化 |
| 英文关键词: military vehicle parts packing stowage ant colony algorithm optimization |
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| 中文摘要: |
| 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。 |
| 英文摘要: |
| 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. |
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