ID 原文 译文
18865 地震应急需要同时兼顾时效性、公平性和经济性等相互冲突的多个调度目标。 The conflicting multiple schedule goals, such as time, fairness, and cost, should be taken into consideration together in an earthquake emergency resource schedule.
18866 该文对地震应急物资调度问题建立了带约束的3目标优化模型，并设计了基于进化状态评估的自适应多目标粒子群优化算法(AMOPSO/ESE)来求解Pareto最优解集。 A three-objective optimization model with constraintsis constructed according to earthquake emergency resource schedule problems. An Adaptive MultiObjectiveParticle Swarm Optimization (PSO) based on Evolutionary State Evaluation (AMOPSO/ESE) is proposed tooptimize this model for obtaining the Pareto optimal set.
18867 然后根据“先粗后精”的决策行为模式提出了由兴趣最优解集和邻域最优解集构成的Pareto前沿来辅助决策过程。 At the same time, based on the decision behaviorpattern of "macro first and micro later", the two-level optimal solution sets consisting of an interest optimalsolution set and their neighborhood optimal solution sets are proposed to represent the Pareto front roughly,which can simplify the decision-making process.
18868 仿真表明该算法能有效地获得优化调度方案，与其他算法相比，所得Pareto解集在收敛性和多样性上具有性能优势。 The simulation results show that the multiobjective resource schedules can be effectively obtained by the AMOPSO/ESE algorithm, and the performance of the proposed algorithm is better than that of the chosen competed algorithms in terms of convergence and diversity.
18869 针对软件定义网络(SDN)分布式控制平面中由于网络分域管理所引发的控制扩张问题，该文提出了一种基于流量工程的SDN控制资源优化(TERO)机制。 In Software-Defined Networking (SDN) with distributed control plane, network expansion problemsarise due to network domain management. To address this issue, a Traffic Engineering-based control ResourceOptimization (TERO) mechanism of SDN is proposed.
18870 首先基于数据流的路径特征对流请求的控制资源消耗进行分析，指出通过调整控制器和交换机的关联关系可以降低控制资源消耗。 It analyzes the control resource consumption of flowrequests processing with different path characteristics, and points out that the control resource consumptioncan be reduced by changing the association relationship between controllers and switches.
18871 然后将控制器关联过程分为两个阶段：先设计了最小集合覆盖算法来快速求解大规模网络中控制器关联问题； The controllerassociation mechanism is divided into two phases: firstly, a minimum set cover algorithm is designed to solvethe controller association problem efficiently in large-scale network.
18872 在此基础上，引入联合博弈策略来优化控制器和交换机的关联关系以减少控制资源消耗和控制流量开销。 Then, a coalitional game strategy is introduced to optimize the controller association relationship to reduce both control resource consumption and control traffic overhead.
18873 仿真结果表明，与现有的控制器和交换机就近关联机制相比，该文机制能在保证较低控制流量开销的前提下，节省约28%的控制资源消耗。 The simulation results demonstrate that while keeping control traffic overhead low, mechanism which in this paper can reduce control resource consumption by about 28% in comparison with the controller proximity mechanism.
18874 现有的零陷展宽算法忽略了锥化矩阵的相位信息，在对抗强方向性、大偏差角干扰时，零陷深度变浅，干扰抑制性能严重下降。 In existing null broadening algorithm, the taper matrix does not contain phase information, and when it is used to against strong directional and large deviation angle interference, the null depth becomes shallow and the interference suppression performance drops seriously.