作战空间
计算机科学
系统工程
可扩展性
资源(消歧)
资源管理(计算)
整数规划
无人机
整数(计算机科学)
运筹学
系统动力学
数据建模
实时计算
工程类
分布式计算
组分(热力学)
数学模型
先验与后验
线性规划
控制工程
资源配置
作者
Chase Murray,Mark H. Karwan
摘要
Abstract Unmanned aerial vehicles (UAVs), increasingly vital to the success of military operations, operate in a complex and dynamic environment, sometimes in concert with manned aircraft. We present an extensible modeling framework for the solution to the dynamic resource management (DRM) problem, where airborne resources must be reassigned to time‐sensitive tasks in response to changes in battlespace conditions. The DRM problem is characterized by diverse tasks with time windows, heterogeneous resources with fuel‐ and payload‐capacity limitations, and multiple competing objectives. We propose an integer linear programing formulation for this problem, where mathematical feasibility is guaranteed. Although motivated by airborne military operations, the proposed general modeling framework is applicable to a wide array of settings, such as disaster relief operations. Additionally, land‐ or water‐based operations may be modeled within this framework, as well as any combination of manned and unmanned vehicles. © 2010 Wiley Periodicals, Inc. Naval Research Logistics, 2010
科研通智能强力驱动
Strongly Powered by AbleSci AI