ID 原文 译文
55457 基于物种进化中存在基因漂流的特性,设计一种学习型遗传算法(learnable genetic algorithm,LGA)对行动策略优选模型进行优化求解,通过染色体种群对优秀染色体优势基因位学习,结合有效的遗传和选择算子,加快算法收敛寻优速度。 On the basis of the characteristics of genetic drift in evolutionary, design a kind of learning genetic algorithm (learnable based algorithm, the LGA) on strategies and optimization to solve the optimization model, through the chromosome population advantage of the good chromosomes genetic study, combined with effective genetic and selection operator, to speed up the optimization algorithm convergence.
55458 结合空中进攻作战想定案例进行仿真验证,计算结果表明,在部分事件/行动节点影响值变化下进行策略优选,提高了对因果关系的建模能力,所提的学习型遗传算法具有良好的收敛性和较好的寻优能力。 Combined with air offensive operations scenarios simulation case, the results show that the under part of the event/action node values change strategy optimization, improve the modeling capabilities of causality, the proposed learning genetic algorithm has good convergence and good optimization ability.
55459 网络化C4ISR系统规模庞大、结构复杂,系统结构成为影响网络化C4ISR系统各种特性的主要因素,特别是结构与系统抗毁性之间存在直接的因果关系。 Networked C4ISR systems are large, complex structure, the system structure to become the main factors influencing the network features of C4ISR system, especially the structure and system, there is a direct causal relationship between anti-destroying ability.
55460 本文在分析系统结构抗毁性概念的基础上,首先提出了网络化C4ISR系统结构信息流模型;然后基于该模型提出了基于信息流的系统结构抗毁性分析方法;包括不完全信息下系统结构的攻击模型、系统完成任务能力的度量方法以及抗毁性指标计算方法;最后通过对区域联合防空指挥信息系统结构抗毁性仿真实验分析,验证了该方法的有效性。 Based on the analysis of system structure anti-destroying ability on the basis of the concept of first networked C4ISR system structure of information flow model is put forward;Then based on this model is presented based on the system structure of information flow in the anti-destroying ability analysis method;Including the system structure of attack model under incomplete information, system ability to complete the task of measurement method and anti-destroying ability index calculation method;Finally through to the regional joint air defense command information system structure anti-destroying ability simulation analysis, validate the effectiveness of the proposed method.
55461 针对装备安全事故的突发性、复杂性,从系统安全熵"流程-突变"角度构建灰色-熵突变模型进行安全性崩溃分析。 In view of the sudden, complexity, equipment safety accident, from the perspective of system safety entropy "process - mutation" building collapse gray mutation - entropy model for safety analysis.
55462 提出了复杂装备系统安全熵、安全熵函数、安全熵势函数等概念,刻画复杂装备系统安全状态从稳定到崩溃的演化机理和过程;建立了复杂装备系统安全熵函数的量子粒子群DGM(2,1)拟合模型,并以拟合值和实际值的灰关联度为适应度函数,提高模型拟合精度;构建装备系统安全熵尖点突变模型,给出安全性崩溃的灰色-熵突变判据算法。 Complex equipment system safety, safety entropy function, safety entropy entropy concept of the potential function, complex equipment to the evolution of the system safety state from stable to collapse mechanism and process;Established a quantum particle swarm of the entropy function of complex equipment system safety at DGM fitting (2, 1) model, and the fitting values and actual values of grey correlation degree as fitness function, improve the model fitting accuracy;To construct a system of equipment safety entropy cusp catastrophic model, security collapse of grey - entropy criterion mutation algorithm.
55463 最后,以某型飞机主起落架控制系统为例,验证了模型的有效性,为定量判断装备系统安全状态提供了新的方法。 Finally, to a certain type of aircraft main landing gear control system as an example, to demonstrate the effectiveness of the model, the quantitative judgment for equipment provides a new method of system security state.
55464 覆盖网能有效分离网络应用与底层网络基础设施,提升服务质量(quality of service,QoS)和用户体验(quality of users’experience,QoE)。 Network can effectively separate network applications and the underlying network infrastructure, improving the quality of service (quality of service, QoS) and the user experience (the quality of the users' experience, QoE).
55465 设计了一种普适性较强的覆盖网拓扑构建算法——基于最小生成树(minimum spanning tree,MST)的拓扑感知度约束(minimum spanning tree-based topology-aware degree bound,MST-TADB)覆盖网构建算法。 We design a general network topology construction algorithm is proposed, based on the minimum spanning tree (minimum spanning tree, the MST) topological perception of constraint (minimum spanning tree - -based topology - aware degree bound, MST - TADB) network construction algorithm.
55466 该方法感知网络拓扑,逐步生成MST,同时参考节点的转发和计算能力作为节点度约束收敛算法。 Perception network topology, the method generates the MST, step by step forward at the same time of the reference node and computing power as the node degree constraint convergence algorithm.