首页> 外文期刊>Journal of Defense Modeling and Simulation >A decomposition solution approach to the troops-to-tasks assignment in military peacekeeping operations
【24h】

A decomposition solution approach to the troops-to-tasks assignment in military peacekeeping operations

机译:一种分解解决方案对军队维持行动作战部队的任务分配

获取原文
获取原文并翻译 | 示例

摘要

This paper considers the Peacekeeping Troops-to-Tasks Problem (PTTP). The PTTP deals with assigning battlegroup resources to a set of tasks associated with a given peacekeeping mission. The tasks may be spread across several locations, and have requirements regarding the time at which they can be handled, and the skills and skill levels needed to complete them. There is also a utility value related to each completed task that reflects its importance. The resources are bound by a hierarchy of command, limiting their movement in relation to one another. The aim is to decide which tasks to complete, when, and by whom. We present a mathematical compact model for the PTTP, which includes a number of complicating real-life factors. Due to the complexity of the compact model, it is difficult to solve large instances using a commercial solver. Therefore, we also propose a decomposition-based solution approach, with a decomposed model where possible travel routes for the resources are generated a priori. The computational study shows that the decomposed model has better performance than the compact model, and that it can be used as a good starting point for developing a useful decision support tool for military peacekeeping operations planning.
机译:本文认为维持和平部队 - 任务问题(PTTP)。 PTTP处理与特定维持和平特派团相关的一系列任务分配战斗组资源。任务可能会扩散到几个位置,并且对可以处理它们的时间的要求以及完成它们所需的技能和技能水平。还有与每个已完成的任务相关的实用价值,反映其重要性。资源受到命令层次结构的绑定,限制了它们相对于彼此的运动。目的是决定填写哪些任务,何时以及谁。我们为PTTP呈现了一个数学紧凑型模型,包括许多复杂的现实生活因素。由于紧凑型模型的复杂性,难以使用商业求解器解决大型情况。因此,我们还提出了一种基于分解的解决方案方法,具有分解模型,其中生成了用于资源的可能的旅行路线。计算研究表明,分解的模型具有比紧凑型号更好的性能,并且它可以用作开发用于军事维和行动计划的有用决策支持工具的良好起点。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号