ID 原文 译文
11524 推导得到了六边形格点阵列实现UV平面采样点全覆盖的条件,并将六边形格点阵列的稀疏优化转化为矩形格点阵列的稀疏优化问题。 Infers the hexagonal lattice array realizing a complete coverage of UV surface sampling points, and the hexagonal lattice array sparse optimization into rectangular lattice array of sparse optimization problem.
11525 利用差基序列低冗余度特性,提出了基于差基的六边形格点阵列稀疏与优化方法。 Using low redundancy feature difference base sequences, is proposed based on difference of hexagonal lattice array sparse and optimization method.
11526 仿真分析结果表明,采用所提方法得到的稀疏阵列,其冗余度优于经典X形阵。 Simulation results show that the proposed method of sparse array, the redundancy is superior to the classic x-shaped array.
11527 研究了C4ISR系统结构中指挥控制关系的适应性演化问题。 Study the relationship between the command and control in C4ISR system structure of adaptive evolution.
11528 构建了C4ISR系统结构中的指挥控制关系模型。 ‭Constructs the structure relationship of command and control model of C4ISR system on command and control relationships.
11529 在对指挥控制关系适应性演化过程分析和描述的基础上,设计了演化过程中的指挥控制关系的结构变化代价和性能代价。 On the basis of adaptive evolution process analysis and description, design in the process of the evolution of the relationship between the command and control structure change cost and performance.
11530 并以最小化总的演化代价为目标函数构建了指挥控制关系适应性演化问题的数学模型。 And evolve to minimize the total cost as the objective function to build the relationship between the command and control mathematical model of adaptive evolution.
11531 提出了基于n-Best策略层级聚类方法和遗传算法(genetic algorithm,GA)的问题模型求解思路。 ‭Is proposed based on n - Best strategy hierarchical clustering method and genetic algorithm (based algorithm, GA) model to solve the problem of train of thought.
11532 n-Best策略层级聚类方法用来获取每个任务阶段可行的指挥控制关系集合,而GA用来搜索最优的演化路径。 N - Best strategy hierarchical clustering method is used to obtain each task stage feasible set command and control relationships, and the evolution of the GA is used to search the optimal path.
11533 最后通过某一仿真算例验证了求解方法的可行性、稳定性。 ‭Finally, a simulation example proves the feasibility of the method, the stability.