基于仿真的系统需求约束问题求解算法研究

提出了一种基于仿真的求解系统需求约束问题的算法，它基于实际总理2中存在的独立单调性原理，采取了超盒数值逼近方法，高效地逼近所求的系统使命轨迹。该算法极大地缩减了搜索空间，并克服以前依赖解析函数关系求使命轨迹的缺陷，使得复杂系统的使命轨迹的生成成为可能，本文用该算法与相应仿真手段于一概念上的反隐身防空C^3I系统使命轨迹的生成，取得了较好的效果，最后，进一步讨论了提高算法计算速度的几种策略。     

基于样条逼近的评价方法研究

样条逼近是从结构（空间或时间）性数据集合中提取特征的有效方法，本文提出基于样条逼近的评价方法，并进行评价方法应用研究，首先给出可变结点的样条逼近中数据集合点结点位置的选取准则，是使逼近的误差最小；给出数据集合点位置的选取方法及算法。对于上述分划的子区间，使用主成分分析方法对每个子区间进行评价，得到相应子区间的评价值，由于每个子区间的指标数不同，对子区间的评价值进行修正以体现这种差别；之后利用上述修正的子区间的评价值计算综合评价值。最后给出了应用结果。     

基于随机规划的制造/再制造物流网络优化设计

针对含有连续型随机参数的制造/再制造物流网络优化设计问题,在Monte Carlo模拟抽样基础上,建立了样本数量决定解算效率的两阶段随机规划模型,给出了模型求解的混合遗传算法,结合样本均值近似方法阐述了获取理想目标值及其可行解的最优值上下界逼近技术,明确了基于两阶段随机规划的物流网络优化设计步骤,举例说明了模型及其算法在设计决策中的应用。     

Efficient analysis of dielectric radomes using multilevel fast multipole algorithm with CRWG basis

A full-wave analysis of the electromagnetic problem of a three-dimensional （3-D） antenna radiating through a 3-D dielectric radome is preserued. The problem is formulated using the Poggio-Miller-Chang-Harrington- Wu（PMCHW） approach for homogeneous dielectric objects and the electric field integral equation for conducting objects. The integral equations are discretized by the method of moment （MoM）, in which the conducting and dielectric surface/interfaces are represented by curvilinear triangular patches and the unknown equivalent electric and magnetic currents are expanded using curvilinear RWG basis functions. The resultant matrix equation is then solved by the multilevel fast multipole algorithm （MLFMA） and fast far-field approximation （FAFFA） is used to further accelerate the computation. The radiation patterns of dipole arrays in the presence of radomes are presented. The numerical results demonstrate the accuracy and versatility of this method.     

二维线性与非线性海面电磁散射特性比对研究

二维线性和非线性海面模型与低阶小斜率近似（small slope approximation, SSA）法相结合,对比研究了不同海面的统计特征及其电磁散射特性。研究表明：非线性海浪比相应的线性海浪具有更尖锐的波峰和更为平坦的波谷,虽然其高度均方根保持不变,但斜率变大,且偏离高斯分布;相应地,非线性海面归一化雷达散射截面（normalized radar cross section, NRCS）在远离镜面反射方向上略高于线性海面的NRCS,其后向散射系数也有所提高,并且该差异在小擦地角下更为显著。     

分布式异类传感器网异步采样下的航迹起始算法

为解决分布式异类传感器网异步采样下的航迹起始问题,基于模糊集理论,定义了测量集与目标间的模糊综合贴近度。基于模糊综合贴近度提出了分布式异类传感器网航迹起始算法。该算法通过模糊综合贴近度函数全局极值点的检测实现目标的检测,用与目标相关联的测量估计目标的初始状态。算法的特点是不需要掌握目标探测概率、虚警率、杂波密度等诸多信息。仿真实验验证了算法的有效性。     

基于改进的RBF模糊神经网络滤波的噪声消除

改进RBF模糊神经网络前件和后件的结构和学习算法，克服了RBF模糊神经网络模糊规则冗余的缺点。利用该系统对舍噪声的非线性信号逼近，达到消除噪声的目的。同时，应用该系统对地震信号进行滤波处理仿真，结果表明改进后的RBF模糊神经网络具有学习算法简单，计算量小，实时性好，而且能有效地抑制噪声。     

Study on High-Speed Magnitude Approximation for Complex Vectors

Abstract: High-speed magnitude approximation algorithms for complex vectors are discussed intensively. The perfor-mance and the convergence speed of these approximation algorithms are analyzed. For the polygon fitting algorithms, theapproximation formula under the least mean square error criterion is derived. For the iterative algorithms, a modifiedCORDIC (coordinate rotation digital computer) algorithm is developed. This modified CORDIC algorithm is proved to bewith a maximum relative error about one half that of the original CORDIC algorithm. Finally, the effects of the finiteregister length on these algorithms are also concerned, which shows that 9 to 12-bit coefficients are sufficient for practicalapplications.     

A PRODUCTION-INVENTORY SYSTEM WITH AN UNRELIABLE CONTINUOUS TRANSFER LINE

This paper extends a production-inventory model with one unreliable machine to one that hasn machines in series, separated by finite buffers. It is shown how customer service levels and otherperformance measures can be calculated as a function of the availabilities of the machines and thesizes of the intermediate buffers.     

ON APPROXIMATION OF MAX n／2-UNCUT PROBLEM

Using outward rotations, we obtain an approximation algorithm for MAX n/2-UNCUT problem, i.e., partitioning the vertices of a weighted graph into two blocks of equal cardinality such that the total weight of edges that do not cross the cut is maximized. In many interesting causes, the algorithm performs better than the algorithms of Ye and of Halperin and Zwick. The main tool used to obtain this result is semidefinite programming.