大力弘扬"老西藏精神"

"老西藏精神"是驻藏部队、地方援藏干部与西藏各族人民群众一道,在长期艰苦卓绝的革命斗争实践中不断积累形成的宝贵精神财富,"特别能吃苦、特别能忍耐、特别能战斗、特别能创业、特别能奉献"是对这一精神丰富内涵的生动概括。在半个多世纪里,"老西藏精神"激励着驻藏官兵戍边卫国,激励着无数西藏建设者扎根西藏、建设西藏。进入新世纪新阶段,大力弘扬"老西藏精神",对于我们更好地贯彻落实十七大精神,大力推进中国特色社会主义伟大事业,实现全面建设小康社会奋斗目标,全面履行新世纪新阶段我军肩负的历史使命,具有重要的现实意义和深远的历史意义。     

军事管理革命的源流和历史经验

世界新军事变革不仅是一场军事技术和军队组织体制的革命,也是一场军事管理的革命.在人类历史上,伴随着军事变革的兴起与发展,发生过多次军事管理革命,使世界各国的军事管理体系发生了根本性的变革.从中我们可以总结出很多有益的经验教训,对顺利推进当前我国面临的军事管理革命,具有重要的借鉴和启发作用.     

适应信息化战争需要大力提高我军干部信息素养

信息化战争对我军干部信息素养提出了新的更高要求;针对当前我军干部队伍信息素养整体偏低的现状,提出完善院校培训体系、完善干部出国培训机制、完善军民融合式发展的体制、完善继续教育机制、完善干部交流机制等方面对策。     

培育当代军人核心价值观的路径思考

军人核心价值观是军人的灵魂。当代军人核心价值观的培育路径,主要应从努力促进军人核心价值观与军人的世界观、人生观;国家观、战争观;使命观、职业观等方面的密切结合来进行。     

深入学习实践科学发展观:中国新一轮发展的强大推动力——学习胡锦涛总书记9月19日重要讲话

认真学习胡锦涛总书记9月19日重要讲话精神,切实搞好深入学习实践科学发展观活动,是推动中国新一轮发展的强大动力。通过深入学习实践科学发展观活动,提高全党的思想理论水平,为推动科学发展提供强大思想动力;努力解决群众反映强烈、影响和制约科学发展的突出问题,为推动科学发展提供强大社会合力;构建有利于科学发展的体制机制,为推动科学发展提供制度保证;提高党的执政能力,为推动科学发展提供坚强组织保证;努力在改进作风上取得新成效,为推动科学发展提供更和谐的环境。     

基于动平衡状态理论的非线性系统设计方法

基于动平衡状态理论的非线性设计方法是一种建立在控制系统动平衡状态渐近稳定概念上的新的设计方法.首先设计控制律使系统的动平衡状态按期望的方式运动,然后按某一指标设计系统,使其状态按最佳方式向动平衡状态收敛.使用此方法对非线性跟踪问题进行设计,设计过程简单清楚,仿真结果正确,并能更深刻反映动平衡状态的含义.     

含水声对抗模型的鱼雷武器作战仿真系统

以现代海战为背景,采用基于高层体系结构(High Level Architecture,HLA)的建模、开发软件平台Lab Works、pRTI构建了开放式、可扩展的鱼雷武器作战仿真系统.该系统在弹道仿真的基础上引入了水声对抗模型,将鱼雷自导解算模型和目标环境空间生成模型相耦合,组成能在一台微机上进行仿真解算的声信号处理联邦成员,避免了大量数据在网络上的传输.仿真运行结果显示,采用这种方法.既保证了仿真的实时性,又提高了模型解算的精确性.     

Scheduling parallel machines with inclusive processing set restrictions

We consider the problem of assigning a set of jobs to different parallel machines of the same processing speed, where each job is compatible to only a subset of those machines. The machines can be linearly ordered such that a higher‐indexed machine can process all those jobs that a lower‐indexed machine can process. The objective is to minimize the makespan of the schedule. This problem is motivated by industrial applications such as cargo handling by cranes with nonidentical weight capacities, computer processor scheduling with memory constraints, and grades of service provision by parallel servers. We develop an efficient algorithm for this problem with a worst‐case performance ratio of + ε, where ε is a positive constant which may be set arbitrarily close to zero. We also present a polynomial time approximation scheme for this problem, which answers an open question in the literature. © 2008 Wiley Periodicals, Inc. Naval Research Logistics, 2008     

An approximate dynamic programing approach to the development of heuristics for the scheduling of impatient jobs in a clearing system

A single server is faced with a collection of jobs of varying duration and urgency. Each job has a random lifetime during which it is available for nonpreemptive service. Should a job's lifetime expire before its service begins then it is lost from the system unserved. The goal is to schedule the jobs for service to maximize the expected number served to completion. Two heuristics have been proposed in the literature. One (labeled π^S) operates a static priority among the job classes and works well in a “no premature job loss” limit, whereas the second (π^M) is a myopic heuristic which works well when lifetimes are short. Both can exhibit poor performance for problems at some distance from the regimes for which they were designed. We develop a robustly good heuristic by an approximative approach to the application of a policy improvement step to the asymptotically optimal heuristic π^S, in which we use a fluid model to obtain an approximation for the value function of π^S. The performance of the proposed heuristic is investigated in an extensive numerical study. © 2010 Wiley Periodicals, Inc. Naval Research Logistics 2010     

基于蚁群算法的航空弹药需求测算

智能化是现代航空弹药需求与指挥控制系统的发展趋势,如何进行合理快速地调拨航空弹药是系统设计过程中的关键任务之一。为此,提出了依据目标对航空弹药进行选择的策略,利用蚁群算法对战斗目标进行聚类分析,对各类目标进行模糊综合评判,从而确定装备出动方案,依据弹药与装备的关系,对满足既定保障度的弹药需求量建立模型,并计算出满足既定保障度的弹药供应量,为战前对战场态势预估,实现弹药战时及时准确调拨,为作战弹药准备提供依据。