战备物资储备统筹方法？

根据战备物资储备工作的特点和要求,分析了统筹工作的目的和意义,用于指导战备物资的储备工作。构建了战备物资储备统筹模型,运用定性和定量相结合的方法,综合考虑各种因素对储备的影响,对各方向的战备物资消耗需求量进行多层次的统筹,最终获得战备物资的储备限额量。     

战备物资储备统筹方法?

根据战备物资储备工作的特点和要求,分析了统筹工作的目的和意义,用于指导战备物资的储备工作。构建了战备物资储备统筹模型,运用定性和定量相结合的方法,综合考虑各种因素对储备的影响,对各方向的战备物资消耗需求量进行多层次的统筹,最终获得战备物资的储备限额量。     

翼伞精确空投系统归航轨迹规划与控制?

翼伞归航轨迹规划与控制问题是翼伞系统在一定初始状态下,利用自身可操作性,完成从初始位置到目标位置的转移问题。针对翼伞空投系统不同归航要求,规划出满足精度要求为圆径概率误差（ CEP ）小于40m的归航轨迹并经过一定量的控制完成翼伞空投系统精确空投任务。首先建立翼伞系统状态空间六自由度模型,并在此基础上提出系统简化稳态模型,通过最优控制方法,规划出满足空投要求的最优归航轨迹后对翼伞进行不断控制直至目标点。最后通过Matlab仿真试验,绘出翼伞系统归航轨迹图与控制变化图。     

一种基于多Agent强化学习的多星协同任务规划算法

在分析任务特点和卫星约束的基础上给出了多星协同任务规划问题的数学模型.引入约束惩罚算子和多星联合惩罚算子对卫星Agent原始的效用值增益函数进行改进,在此基础上提出了一种多卫星Agent强化学习算法以求解多星协同任务分配策略,设计了基于黑板结构的多星交互方式以降低学习交互过程中的通信代价.通过仿真实验及分析证明该方法能...     

Annealing adaptive search,cross‐entropy,and stochastic approximation in global optimization

The Annealing Adaptive Search (AAS) algorithm for global optimization searches the solution space by sampling from a sequence of Boltzmann distributions. For a class of optimization problems, it has been shown that the complexity of AAS increases at most linearly in the problem dimension. However, despite its desirable property, sampling from a Boltzmann distribution at each iteration of the algorithm remains a practical challenge. Prior work to address this issue has focused on embedding Markov chain‐based sampling techniques within the AAS framework. In this article, based on ideas from the recent Cross‐Entropy method and Model Reference Adaptive Search, we propose an algorithm, called Model‐based Annealing Random Search (MARS), that complements prior work by sampling solutions from a sequence of surrogate distributions that iteratively approximate the target Boltzmann distributions. We establish a novel connection between MARS and the well‐known Stochastic Approximation method. By exploiting this connection, we prove the global convergence of MARS and characterize its asymptotic convergence rate behavior. Our empirical results indicate promising performance of the algorithm in comparison with some of the existing methods. © 2011 Wiley Periodicals, Inc. Naval Research Logistics, 2011     

多波长主动式相干合成中光程差对合成效果的影响

为了对多波长激光主动式相干合成做出初步的理论描述,揭示影响合成效果的关键因素,根据相干合成的基本原理,建立了计算模型.并以9波长7路相干合成系统为实例,仿真计算了光程差取不同值的情况下,各频率成分的合成效果和总体合成效果.当各路间存在较大的光程差时,只有中心频率成分实现了相干相长,其他频率成分处于"混乱"状态,总体合成...     

空地多目标序贯攻击三维最优航迹实现

单机或多机协同执行对地多目标攻击任务将成为未来空地战争的一种重要形式。制定了合适的分段规划策略,建立了水平面和垂直面的空地多目标序贯攻击最优航迹模型,应用经典的可行方向法对模型求解。根据水平面和垂直面规划的相互关系及规划结果,得到三维最优航迹,为飞行导航提供有效依据。最后通过实例验证了所建模型及方法的有效性。     

Planning versus Chaos in Clausewitz's On War

Clausewitz laid great emphasis on the planned construction of war, but this idea has received little attention from his commentators, who generally attach far greater importance to what he said about the chaotic elements of war, in particular its interactive nature and the friction inseparable from its conduct. This article gives long-overdue recognition to planning as a dominant theme of On War. The essential point Clausewitz makes concerning interaction is not that the enemy's responses are bound to disrupt our plans, but that our plans must aim to predict and incorporate his responses. Clausewitz acknowledges that friction creates enormous difficulties for the realization of any plan, but it is precisely in respect of this challenge that he develops the concept of military genius, whose capabilities are seen above all as the executive arm of planning.     

Bounded flexibility in days‐on and days‐off scheduling

This article presents a flexible days‐on and days‐off scheduling problem and develops an exact branch and price (B&P) algorithm to find solutions. The main objective is to minimize the size of the total workforce required to cover time‐varying demand over a planning horizon that may extend up to 12 weeks. A new aspect of the problem is the general restriction that the number of consecutive days on and the number of consecutive days off must each fall within a predefined range. Moreover, the total assignment of working days in the planning horizon cannot exceed some maximum value. In the B&P framework, the master problem is stated as a set covering‐type problem whose columns are generated iteratively by solving one of three different subproblems. The first is an implicit model, the second is a resource constrained shortest path problem, and the third is a dynamic program. Computational experiments using both real‐word and randomly generated data show that workforce reductions up to 66% are possible with highly flexible days‐on and days‐off patterns. When evaluating the performance of the three subproblems, it was found that each yielded equivalent solutions but the dynamic program proved to be significantly more efficient. © 2013 Wiley Periodicals, Inc. Naval Research Logistics 60: 678–701, 2013     

改革开放前毛泽东先行探索社会主义的经验教训——纪念毛泽东诞辰120周年

毛泽东早在20世纪50年代,就开始对适合中国国情的社会主义建设道路进行了一系列开创性探索。他基于中国经济文化落后的基本现状,对“什么是社会主义”、“如何建设和发展社会主义”等问题进行了艰苦探索,并提出许多富有创造性的思想。毛泽东探索的过程是极其艰辛的,其中既有成功的经验,也有失败的教训。今天总结这些经验教训,对于我们更好地坚持和发展中国特色社会主义,具有重大的历史意义和现实意义,同时这也是坚持贯彻习近平“两个不能否定”的基本要求。