ID 原文 译文
6594 针对传统目标分配算法不能求解大规模资源目标分配的组合规划难题,提出了一种基于数学归纳法的资源目标分配算法。 In view of the traditional target allocation algorithm to solve large-scale resource allocation portfolio planning problem, proposes a resource target allocation algorithm based on mathematical induction.
6595 建立了资源相同条件下的目标分配数学模型。 Resources is established mathematical model of target assignment in the same conditions.
6596 通过逐步增加资源和资源预分配的方法,不断从每次迭代的预分配方案中选择最优的分配方案,极大地降低了分配问题的搜索解空间和计算复杂度。 By gradually increasing resources and resource allocation methods, constantly from each iteration scheme of choosing the optimal allocation scheme, allocation problem to search the solution space is greatly reduced and the computational complexity.
6597 以无人机协同区域搜索为典型应用案例,分别设计了对比实验和性能实验。 In unmanned aerial vehicle (uav) cooperative area search for typical application cases, designed a contrast experiment and performance experiments respectively.
6598 仿真实验结果表明,该算法可以保证得到目标分配问题的全局最优解,并且在大规模资源分配中具有很好的实时性。 Simulation results show that the proposed algorithm can guarantee to get target the global optimal solution of assignment problem, and has good real-time performance in large-scale resource allocation.
6599 武器系统作战能力评估是数据结构复杂的多属性决策问题,具有重要的军事意义。 Weapon system combat capability assessment is a complex data structure of multiple attribute decision making problems, has important military significance.
6600 针对武器系统作战能力评估时评估信息形式不统一、指标数据聚合困难以及不同性质指标无法对比分析等问题,提出了主客观相互嵌合的多属性效用评估方法; In weapon system combat capability assessment, assessment information form is not unified, difficult to index data aggregation and analysis of different nature index can't question, proposed the subjective and objective mutual chimeric multi-attribute utility evaluation method;
6601 采用了基于心理活动规律的常数构造效用函数; adopted based on the constant constructs the utility function of the law of psychological activities;
6602 建立了基于生产函数的指标效用聚合模型。 index utility aggregation based on production function model is established.
6603 首先,基于小组决策的方法,提出将距离优化模型与多专家评估权重有机结合,得到基于群体共识的有效指标权重。 First of all, based on group decision making method, and puts forward the distance optimization model with an organic combination of expert evaluation weights, get effective index weight based on group consensus.