ID 原文 译文
48786 同时为保证粒子的多样性和算法的全局收敛能力,算法采用基于距离的粒子多样性度量算子、基于适应值排序的粒子选择算法和基于轮盘赌的全局最优解选择策略。 At the same time to ensure the diversity of particles and the algorithm is global convergence ability and particle diversity algorithm based on distance measure operator, based on the adaptive value of particle selection algorithm and the global optimal solution based on roulette selection strategy.
48787 仿真实验结果表明该算法能同时优化多个目标,并得到一组满足约束的Pareto最优解,且具有较好的性能和鲁棒性,解集的质量和分布也优于非支配排序遗传(nondominated sorting genetic algorithm,NSGA)算法的改进算法NSGA-Ⅱ,能有效解决QoS全局最优的Web服务选择问题。 Simulation experiment results show that the algorithm can optimize the multiple targets at the same time, and get a set of satisfy the constraints of Pareto optimal solutions, and has good performance and robustness, the quality and distribution of solution set is better than that of the non dominated sorting genetic (nondominated sorting based algorithm, the NSGA) algorithm of the improved algorithm the NSGA - Ⅱ, can effectively solve the problem of QoS global optimal Web service selection.
48788 空舰导弹在反舰协同作战中发挥着重要作用。 Empty ships in anti-ship missile cooperative engagement plays an important role.
48789 在传统蚁群算法基础上,通过改进其搜索机制及信息素更新范围,提出了一种改进的半约束随机蚁群(semi-restraint stochastic ant colony system,SSACS)算法,并将其应用于空舰导弹作战多目标分配中。 On the basis of traditional ant colony algorithm, by improving its search mechanism and pheromone update scope, proposed an improved half constraint random ant (semi - restraint stochastic ant colony system, SSACS) algorithm, and applied to multi-objective distribution of empty anti-ship missile warfare.
48790 基于舰艇编队战术价值和动态拦截威胁因素,建立了空舰导弹突防舰队防御威胁数学模型,优化了空舰导弹多目标分配算法。 Based on fleet tactical value and dynamic intercept threatening factors, established the empty anti-ship missile penetration fleet defence threat mathematical model of optimization of the empty ship missile target allocation algorithm.
48791 最后通过对比改进的半约束随机蚁群算法和传统蚁群算法,证明了改进的蚁群算法克服了传统蚁群算法局部收敛的缺陷,在解决空舰导弹多波次协同目标分配问题上是有效的。 Finally, by comparing the improved constrained random ant colony algorithm and the traditional ant colony algorithm, proves that the improved ant colony algorithm overcomes the defect of traditional ant colony algorithm local convergence, in solving air missiles, multiwave synergy target assignment problem is effective.
48792 为了克服隐马尔科夫模型(hidden Markov model,HMM)在训练时波氏(Baum-Welch,B-W)算法易陷入局部最优解的不足,采用多智能体遗传算法(multi-agent genetic algorithm,MAGA)对其进行参数估计,设计了染色体编码方法和遗传操作方式。 In order to overcome the hidden Markov model (hidden Markov model, HMM) during practice bow's (Baum Welch, B - W) algorithm is easy to fall into local optimal solution, using multi-agent genetic algorithm (multi - agent based algorithm, MAGA) on the parameter estimation, the chromosome coding method and genetic operation is designed.
48793 利用Viterbi算法的状态估计和状态回溯能力对温控放大器进行状态监测和健康评估研究,仅需建立一个HMM,大幅度减少了HMM作为分类器使用时的模型训练计算量。 Using Viterbi algorithm of state estimation and the ability to state backtracking state monitoring and health assessment was studied for the temperature control amplifier, only need to establish a HMM, greatly reduced the HMM training as classifier when using the model of computation.
48794 仿真结果表明,MAGA优化的HMM具有更好的状态监测性能,采用Viterbi算法得到的状态概率值对设备进行健康评估有效可行。 The simulation results show that MAGA HMM has better condition monitoring performance optimization, the Viterbi algorithm to get the status of the probability value health assessment was carried out on the equipment effective and feasible.
48795 提出一种基于弹载双均匀圆阵(uniform circular array,UCA)的相干信源二维波达方向(direction ofarrival,DOA)估计算法。 Put forward a kind of based on on-board, double of uniform circular array (uniform circular array, UCA) coherent source of 2-d DOA (direction ofarrival, DOA) estimation algorithm.