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Military Operations Research最新文献

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Merging Future Knowledgebase System of Systems with Artificial Intelligence/Machine Learning Engines to Maximize Reliability and Availability for Decision Support 将未来的知识库系统与人工智能/机器学习引擎相结合,以最大限度地提高决策支持的可靠性和可用性
IF 0.7 4区 管理学 Q4 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2021-12-01 DOI: 10.5711/1082598326477
K. Miller, A. Bordetsky, J. C. Mun, R. Maule, A. Pollman
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引用次数: 0
Military Operations Research Society (MORS) Oral History Project Interview of Dr. Janet A. McLeavey 军事行动研究会口述历史项目Janet A.McLeavy博士访谈
IF 0.7 4区 管理学 Q4 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2021-12-01 DOI: 10.5711/1082598326499
G. Akst, B. Sheldon, Donald H. Timian
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引用次数: 0
Fog Computing Resource Management for Video Processing Using Evolutionary Bayesian Optimization and Nondeterministic Deep Reinforcement Learning 基于进化贝叶斯优化和非确定性深度强化学习的视频处理雾计算资源管理
IF 0.7 4区 管理学 Q4 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2021-12-01 DOI: 10.5711/1082598326441
B. Aswin
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引用次数: 1
Cloud Characterization with a Convolutional Neural Network Using Ground Weather Radar Scans 基于地面气象雷达扫描的卷积神经网络云表征
IF 0.7 4区 管理学 Q4 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2021-12-01 DOI: 10.5711/1082598326467
Stephen Lee, L. Champagne, Andrew Geyer
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引用次数: 0
Operations Research Is Key to Fulfilling the Promise of Battlefield Artificial Intelligence 运筹学是实现战场人工智能承诺的关键
IF 0.7 4区 管理学 Q4 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2021-12-01 DOI: 10.5711/108259832649
Jerry Schlabach
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引用次数: 0
A New Age in Conflict: A Statistical Analysis of the Maneuver Battle Lab’s 10x Combat Simulation 冲突的新时代:机动战斗实验室10x战斗模拟的统计分析
IF 0.7 4区 管理学 Q4 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2021-12-01 DOI: 10.5711/1082598326425
Garth McDermott, D. Midgett
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引用次数: 0
UAV Search Path Optimization for Recording Emerging Targets 记录新兴目标的无人机搜索路径优化
IF 0.7 4区 管理学 Q4 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2021-09-01 DOI: 10.5711/1082598326327
Pin-Chun Cho, R. Batta
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引用次数: 3
Exact Solutions for the Effectiveness of Multiple Weapons Against an Imprecisely Located Point Target 多武器对抗不精确点目标效能的精确解
IF 0.7 4区 管理学 Q4 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2021-09-01 DOI: 10.5711/1082598326393
Sei-Hoon Moon, J. Gordis
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引用次数: 0
Flight Planning for Unmanned Aerial Vehicles 无人机飞行计划
IF 0.7 4区 管理学 Q4 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2021-09-01 DOI: 10.5711/1082598326349
A. Fügenschuh, Daniel Müllenstedt, Johannes Schmidt
We formulate the mission planning problem for a fleet of unmanned aerial vehicles (UAVs) as a mixed-integer nonlinear programming problem (MINLP). The problem asks for a selection of targets from a list to the UAVs, and trajectories that visit the chosen targets. To be feasible, a trajectory must pass each target at a desired distance and within a certain time window, obstacles or regions of high risk must be avoided, and the fuel limitations must be obeyed. An optimal trajectory maximizes the sum of values of all targets that can be visited, and as a secondary goal, conducts the mission in the shortest possible time. In order to obtain numerical solutions to this model, we approximate the MINLP by an mixed-integer linear program (MILP), and apply state-of-the-art solvers (Cplex, Gurobi) to the latter on a set of test instances.
我们将无人机编队的任务规划问题表述为混合整数非线性规划问题。这个问题要求从无人机的列表中选择目标,以及访问所选目标的轨迹。为了可行,轨迹必须在一定的时间窗口内以所需的距离通过每个目标,必须避开障碍物或高风险区域,并且必须遵守燃料限制。最佳轨迹使所有可访问目标的值之和最大化,并作为次要目标,在尽可能短的时间内执行任务。为了获得该模型的数值解,我们通过混合整数线性规划(MILP)近似MINLP,并在一组测试实例上将最先进的求解器(Cplex、Gurobi)应用于后者。
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引用次数: 8
Military Operations Research Society (MORS) Oral History Project: Interview of Mr. Edward A. “Ted” Smyth, FS 军事行动研究会口述历史项目:对爱德华·A·“特德”·史密斯先生的采访
IF 0.7 4区 管理学 Q4 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2021-09-01 DOI: 10.5711/10825983263115
Bill Dunn, Cortez "Steve" Stephens, B. Sheldon
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引用次数: 0
期刊
Military Operations Research
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