基于稀疏A*算法的微小卫星飞行姿态静环境规划

提高微小卫星的低可观测特性能够有效提升微小卫星的使用效率和生存能力,因此,设计了一种以稀疏A*算法(SAS)为基础的微小卫星低可观测飞行姿态静环境规划算法。通过对微小卫星的俯仰角,方位角和横滚角等姿态角进行调整,从而可以有效降低微小卫星在威胁雷达方向上的RCS值,提高微小卫星的低可观测特性。通过对工作频率在S波段和VHF波段的威胁雷达对微小卫星的威胁性进行仿真,结果显示规划后微小卫星的低可观测性能明显改善,满足飞行姿态规划的需求。     

SLOWING DOWN TO KEEP THE LEAD IN MILITARY TECHNOLOGY

We develop a model of military technology competition among states. States can choose to introduce new military technology, mimic rivals’ level of technology, or withdraw from the contest. States can choose to implement any level of technology within their current feasible technologies. We find that states with significant technological leads should sometimes withhold new technologies, only strategically releasing them to trump rivals’ efforts. We develop the model by refining Admiral Jackie Fisher’s roughly articulated concept of ‘plunging’. We then use this refined argument to reanalyze the case of naval rivalries among European powers between the Crimean War and the First World War. Finally, we conclude by discussing the model’s implications for current US military force structure planning.     

U.S. policy on preventive war and preemption

In the aftermath of September 11, 2001 and Hurricane Katrina, the United States government has spent tens of billions of dollars to improve the nation's ability to respond to a natural disaster or terrorist attack, but the emphasis on immediate first response has left many long-term environmental, political, and technological challenges unaddressed. Although a dirty bomb attack is unlikely to yield the same amount of physical devastation and death as caused by Katrina or a nuclear weapon, the social, psychological, and economic impact would be enormous. At present, however, the United States lacks the technology necessary to decontaminate a large, densely populated urban area under time, political, and economic constraints. This article reviews past cleanup experiences and current decontamination capabilities to consider the long-term implications of a dirty bomb, identifies weaknesses in America's existing response capabilities, notes possible areas of political friction, and considers the implications of the failure to adequately prepare. Having the appropriate decontamination techniques established and long-term plans in place before an incident occurs will significantly improve the government's ability to protect public and environmental security, establish a viable decontamination strategy, allow residents to return to their homes, and get the local economy back on its feet.     

Portfolio analysis for defense: taking account of networking

To manage their assets at an enterprise level, defense organizations have turned to portfolio theory for the planning, analysis and management of their military forces and materiel. Despite being well established in the commercial sector, the application of portfolio approaches in defense is problematic. The vexatious question for defense of how to define and measure benefits arising is complicated by the increased utility and effectiveness achieved through networking of military forces and the equipment they use. The authors discuss the challenges for defense in using a portfolio approach and propose a conceptual model for dealing with the effects arising from networking with information and communications technologies.     

基于免疫遗传算法的人上位拣选车作业规划问题求解

针对人上位拣选车的作业轨迹规划问题构建了具有附加安全约束条件的时间最优控制数学模型,并提出了一种免疫遗传求解算法．该算法较单纯遗传算法有效避免了种群退化,且收敛速度更快．实验表明,该算法适用于求解人上位拣选车的作业轨迹规划问题．     

密集环境中无人机协同机动飞行运动规划方法综述

从单无人机机动飞行向多机协同扩展的通用规划框架出发,介绍了其中各模块相关研究的基本原理、代表性方法和前沿研究,主要包括用于环境障碍感知的实时导航地图构建、离散空间的路径规划、连续空间的轨迹规划、基于离散连续混合空间的规划、多航迹或轨迹的协同规划。综合无人机通用规划框架的关键技术,提出了无人机协同机动规划下一步需要重点研究的方向。     

基于动态自适应蚁群算法的航线规划仿真

蚁群算法是一种新型的基于群体的仿生算法,其在解决飞机航线规划问题中已经获得了较为广泛的应用。在传统蚁群算法的基础上提出了一种动态自适应调整信息素蚁群算法的航线规划算法,即在航线点搜索过程中对信息素强度Q值进行动态自适应调整,并将三维地形、雷达威胁等因素结合到算法中。仿真结果表明,该改进算法能够有效解决扩大搜索空间和寻找最优解之间的矛盾,帮助飞行员更快地规划出一条最优航线,为更好完成作战任务奠定了良好的基础。     

Scheduling twin robots on a line

This article introduces the twin robots scheduling problem (TRSP), in which two robots positioned at the opposite ends of a rail are required to deliver items to positions along the rail, and the objective is to minimize the makespan. A proof of ‐hardness of the TRSP is presented, along with exact and heuristic algorithms. Computational results on challenging instances are provided.Copyright © 2014 Wiley Periodicals, Inc. Naval Research Logistics 61: 119–130, 2014     

基于动态数据驱动的多UAV实时任务规划

针对在实时动态条件下多UAV任务规划问题,提出了基于动态数据驱动的多UAV实时任务规划仿真平台,主要包括基于MultiUAV2的真实UAV群仿真平台和基于Multi-Agent的预测仿真平台两个部分。采用了A*算法对真实系统工作流进行探索,在此基础之上构建了多UAV合成工作流模型,然后针对动态数据注入运行仿真的问题,研究了传感器任务重置及传感器的预处理方法。最后,通过一个仿真实例验证了提出方法的可行性和有效性。     

使命任务拓展后海军武器装备体系能力框架构建

新时期海军使命任务拓展对海军装备体系建设提出新的需求,需要突出能力在需求分析中的纽带作用。本文针对海军武器装备体系能力框架的概念和研究原则进行简要分析,对能力框架构成进行详细讨论。试用情况说明,以能力框架支撑装备体系规划发展,可更好地涵盖兵力战争运用和非战争运用,综合应对确定和不确定威胁。