基于改进遗传算法的舰载机保障调度方法

舰载机保障作业过程受到多资源约束,同时可能存在着突发事件的干扰;针对此特点,分析并制定干扰情况下的模型修正策略。在遗传算法中引入禁忌搜索算子改进传统遗传算法的变异操作,并通过具体实例进行仿真验证,其结果证明改进后的遗传算法在优化含干扰事件的多机保障问题时效率更高,并通过甘特图直观地反映重调度方案。为真实情况下有效处理舰载机保障过程中的干扰事件奠定理论基础。     

Holonic-C2组织决策分配及演化方法

为了有效发挥指挥控制(Command and Control, C2)组织集中式决策和协作式决策的决策优势,对具有决策权限动态变化能力的Holonic-C2组织的决策分配问题进行研究。针对群决策中专家固定权重的主观性太强的缺点,提出基于专家权威性和意见一致性相结合的专家组选择方法,提高了决策分配过程中多属性决策的客观合理性;针对决策分配的动态演化问题,提出基于多阶段决策的决策模式演化机制,在考虑属性前后阶段的变化的基础上,给出相邻阶段决策模式跃迁方法。仿真结果表明,所提方法能够给出相对客观的决策模式的优劣排序以及多阶段的演化路线,从而证明了方法的可行性和有效性。     

A novel facial emotion recognition scheme based on graph mining

Recent years have seen an explosion in graph data from a variety of scientific, social and technological fields. From these fields, emotion recognition is an interesting research area because it finds many applications in real life such as in effective social robotics to increase the interactivity of the robot with human, driver safety during driving, pain monitoring during surgery etc. A novel facial emotion recognition based on graph mining has been proposed in this paper to make a paradigm shift in the way of representing the face region, where the face region is represented as a graph of nodes and edges and the gSpan frequent sub-graphs mining algorithm is used to find the frequent sub-structures in the graph database of each emotion. To reduce the number of generated sub-graphs, overlap ratio metric is utilized for this purpose. After encoding the final selected sub-graphs, binary classification is then applied to classify the emotion of the queried input facial image using six levels of classification. Binary cat swarm intelligence is applied within each level of classification to select proper sub-graphs that give the highest accuracy in that level. Different experiments have been conducted using Surrey Audio-Visual Expressed Emotion (SAVEE) database and the final system accuracy was 90.00%. The results show significant accuracy improvements (about 2%) by the proposed system in comparison to current published works in SAVEE database.     

扩张状态观测器的观测误差前馈补偿设计

在"总和"扰动模型未知的前提下,针对线性扩张状态观测器跟踪时变信号精度不高的问题,设计出一种前馈观测补偿器。在分析线性扩张状态观测器观测原理的基础上,通过对扰动项的线性近似、误差系统动态响应的忽略,在时域内推导出观测静差的量化表达式,进而使用扰动微分项的估计值替代真值对观测作前馈补偿。理论分析了替代的可行性,证明了补偿器减小观测误差幅值、超前校正观测相位滞后的作用。将这一补偿思想推广至非线性扩张状态观测器中。通过仿真对补偿器提高观测精度、加快误差收敛的有效性进行检验,实验结果进一步表明,补偿器的引入能显著提高整个自抗扰控制系统的控制精度,从而证明了这种补偿思路的可行性。     

采用遗传算法的弹托迎风窝结构设计

针对一体化弹丸弹托易分离性和轻质化的设计要求,构建弹托迎风窝参数化外形模型,基于激波和膨胀波理论建立弹托气动力计算模型;以弹托分离加速度和弹托质量综合最优为目标函数,采用遗传算法对弹托迎风窝的外形参数进行优化设计,从而得到弹托迎风窝的优化外形。以中口径尾翼稳定脱壳穿甲弹的弹托设计为例,采用提出的优化设计模型对其迎风窝结构进行优化设计,并采用基于动网格技术的弹托分离仿真模型验证其最优性。仿真结果表明：所提优化模型能够得到最优的弹托迎风窝结构;针对现有的中口径尾翼稳定脱壳穿甲弹,可进一步对其弹托结构进行优化,以提高其分离快速性。     

Path optimization for the resource‐constrained searcher

We formulate and solve a discrete‐time path‐optimization problem where a single searcher, operating in a discretized three‐dimensional airspace, looks for a moving target in a finite set of cells. The searcher is constrained by maximum limits on the consumption of one or more resources such as time, fuel, and risk along any path. We develop a specialized branch‐and‐bound algorithm for this problem that uses several network reduction procedures as well as a new bounding technique based on Lagrangian relaxation and network expansion. The resulting algorithm outperforms a state‐of‐the‐art algorithm for solving time‐constrained problems and also is the first algorithm to solve multi‐constrained problems. © 2010 Wiley Periodicals, Inc. Naval Research Logistics, 2010     

武警部队快速机动中最优路径的实现

紧急条件下武警部队快速机动最优路径,是一个多目标多约束随机动态交通网络寻优问题。在分析交通网络拓扑化特点及最短路模型前提下,着重研究道路通行能力带给复杂公路网络道路寻优问题的影响,并结合GIS系统利用改进的Dijkstra算法求解。     

一类具脉冲和垂直传染的传染病模型的一致持续生存

本文建立了一类具脉冲和垂直传染的传染病模型,应用脉冲微分议程周期解的全局稳定性、比较原理和分析方法,得到了该模型一致持续生存的充分条件,通过结果可以帮助我们了解,注射疫苗的周期T和注射比例P与疾病控制的联系。     

面向多星观测调度的分层迭代算法

提出一种基于分治策略的多星观测分层调度框架,在该框架下,用蚁群优化算法把任务分配至各轨道圈次上,并利用自适应模拟退火算法求解各轨道圈次的调度问题。根据各轨道圈次调度结果的反馈情况,再调整任务分配方案,重复上述过程直到达到算法终止条件。为了提高算法的性能,在设计蚁群算法的启发式信息模型时,应充分考虑卫星调度问题的领域知识;在模拟退火算法中设计两个邻域结构,采用动态选择策略在优化过程中确定最佳邻域搜索结构。仿真实验表明,该方法有效地降低了问题求解的复杂度,尤其在求解大规模多星观测调度问题时表现出优异的性能。     

阻化烟煤堆非稳态温度场计算

依据实验测得的干、水湿和阻化烟煤氧化反应的动力学参数 ,引入了氧传质模型和水蒸气平衡模型 ,利用计算机编程对干、水湿和阻化烟煤堆内的一维非稳态自热过程的模型分别进行差分计算 ,求得相应煤堆内的非稳态温度场。结果表明 ,采用简化的一维自热过程的非稳态数学模型计算 ,可以剖析氧传递、水蒸气平衡和阻化处理对煤堆自热的影响 ,可以评价实际煤堆的自热危险性和判断烟煤堆的阻化处理效果