Improved NSGA-II Multi-objective Genetic Algorithm Based on Hybridization-encouraged Mechanism

To improve performances of multi-objective optimization algorithms, such as convergence and diversity, a hybridization- encouraged mechanism is proposed and realized in elitist nondominated sorting genetic algorithm （NSGA-Ⅱ）. This mechanism uses the normalized distance to evaluate the difference among genes in a population. Three possible modes of crossover operators--＂Max Distance＂, ＂Min-Max Distance＂, and ＂Neighboring-Max＂--are suggested and analyzed. The mode of ＂Neighboring-Max＂, which not only takes advantage of hybridization but also improves the distribution of the population near Pareto optimal front, is chosen and used in NSGA-Ⅱ on the basis of hybridization-encouraged mechanism （short for HEM-based NSGA-Ⅱ）. To prove the HEM-based algorithm, several problems are studied by using standard NSGA-Ⅱ and the presented method. Different evaluation criteria are also used to judge these algorithms in terms of distribution of solutions, convergence, diversity, and quality of solutions. The numerical results indicate that the application of hybridization-encouraged mechanism could effectively improve the performances of genetic algorithm. Finally, as an example in engineering practices, the presented method is used to design a longitudinal flight control system, which demonstrates the obtainability of a reasonable and correct Pareto front.     

弯曲通道模拟离心条件下的主燃级和预燃级联焰试验

冲压转子发动机是冲压发动机和燃气涡轮发动机的有机结合,其结构简单。冲压转子发动机燃烧室由于其内部受到强离心力场的作用,燃烧室火焰的稳定燃烧以及传播都会受其影响。为了得到离心力场对分级燃烧中两级联焰的影响规律,本文进行了试验研究工作。针对燃烧室在强离心条件下的燃烧特点,采用弯曲通道模拟气流的离心效应。在弯曲试验段上对预燃级和主燃级进行了联焰研究,试验在常温常压条件下进行,进口气流速度范围为10~70m/s。试验中考察了离心力、燃油分级比例以及主燃级燃油喷射初始角度对联焰的影响,试验结果初步验证了燃烧方案的可行性,为冲压转子发动机燃烧室的研究奠定了基础。     

基于开环穿越频率的伪攻角反馈驾驶仪设计

分析伪攻角反馈过载驾驶仪的结构特点,在采用输出反馈形式的基础上,以开环穿越频率为性能指标、系统自振频率为变量,使用连续搜索法,将闭环极点配置在期望的位置;同时考虑到伺服特性,使用优化方法搜索根平面,完成了引入附加约束条件的极点配置设计。通过实例分析,该方法便捷有效,适用于驾驶仪的工程设计。     

多级泵级间导叶的优化与数值仿真

级间导叶是多级离心泵的重要组成部件,对泵性能有重要影响。基于国内外研究提出了级间导叶的四种设计方法,分别为改进径向式导叶设计法、四条流线包围流道设计法、中间流线矩形扫描法和中间流线圆形扫描法。为某多级液氢泵分别设计一种径向式导叶和四种流道式导叶,验证了设计方法的可行性。对径向式导叶及四种流道式导叶进行了数值仿真研究,结...     

样本标签污染条件下的雷达辐射源个体识别技术

针对辐射源个体识别(Specific Emitter Identification,SEI)中由于数据集存在错误标签导致识别率下降的问题,提出了 1种有监督和无监督融合的错误标签识别和纠正方法。首先采用无监督密度峰值聚类方法将数据集中出现的标签错误样本找出,再使用 K折交叉实验对这些标签异常的样本进行预测投票,将得票数多的标签作为错误标签纠正的结果。经过清洗的数据集再通过卷积神经网络进行训练,得到 1个较为理想的辐射源个体识别的网络模型,保证了在样本污染条件下,辐射源个体识别网络仍能具有较好的识别率。文章所提方法的识别率相比未经处理的数据集的识别率在标签错误率小于 30%时平均提高 3.3%;在标签错误率大于 30%时,也能使个体识别率达到 90%左右,验证了文章所提方法在对错误标签的识别和纠正上可以取得较好的效果。     

New improved orbit solutions for the ERS-1 and ERS-2 satellites

Improved orbit solutions of the European Remote Sensing Satellites ERS-1 and ERS-2 have been computed in the ITRF2005 terrestrial reference frame using the recent models based mainly on IERS Conventions 2003. These solutions cover the periods 3 August 1991 to 8 July 1996 for ERS-1, and 3 May 1995 to 4 July 2003 for ERS-2. For each satellite, the final orbit solution is based on a combination of three separate orbit solutions independently computed at the Delft Institute of Earth Observation and Space Systems (DEOS) of the Delft University of Technology (The Netherlands), the Navigation Support Office of the European Space Operations Centre (ESOC, Germany) and the Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences (Germany) using three different software packages for precise orbit determination, but using the same models in the same terrestrial reference frame within the European Space Agency (ESA) project ‘Reprocessing of Altimeter Products for ERS (REAPER)’. Validation using radar altimeter data indicates that the new combined orbits of ERS-1 and ERS-2 computed by us are significantly more accurate, approaching the 2–3 cm level in radial direction, than previously available orbit solutions.     

确定性的遗传算法

针对遗传算法效率普遍较低的缺陷，采用了确定性交叉和确定性变异的策略，同时提出了一种新的遗传算子－Hamming-decreasor算子，以加快速传算法中码值相关相差较小而Hamming距离很大的二进制码串之间的转换，在此基础上，构建了一个新的遗传算法－确定性的遗传算法，初步的数值试验表明，新算法是有效的和鲁棒的。     

基于IGA-ELM网络的滚动轴承故障诊断

为了提高航空发动机轴承故障诊断准确率,提出基于改进遗传算法优化极限学习机网络（IGA-ELM）的诊断模型。针对传统遗传算法易早熟等缺陷,对遗传算法的交叉操作和变异操作进行改进,并用改进的遗传算法优化极限学习机的输入权值矩阵和隐含层阈值,利用Moore-Penrose算法计算极限学习机的输出权值矩阵。使用IGA-ELM诊断模型对滚动轴承正常、内环故障、外环故障和滚珠故障4种工况进行诊断,并分析极限学习机隐含层神经元的数量和激活函数对轴承故障诊断的影响。为了验证改进遗传算法优化极限学习机的有效性,将传统遗传算法、自适应遗传算法和粒子群算法作为对比算法。经过分析表明：改进遗传算法收敛速度和收敛误差,均优于对比算法。     

多级液氢泵级间导叶的设计与改进

采用径向导叶的液氢泵的试验结果表明，导叶损失大，导致液氢泵效率低。提出了一种液氢泵流道式导叶的设计方法，并针对某液氧泵设计了级间导叶，试验结果表明，设计方法合理，降低了级间导叶的损失，提高了液氧泵的效率。     

基于改进实数遗传算法的函数全局优化

将一种改进的实数遗传算法用于函数全局优化。改进的算法建立在对基本实数遗传算法搜索特性判断的基础上。文中对实数遗传算法的基本操作进行了简单的讨论和选择 ,将一种混沌序列作为刺激因素加入到算法中 ,并将区域划分与取舍的思想应用到算法结构改进中。数值实验显示 ,新方法对寻找复杂问题的全局解、提高搜索精度方面较基本实数遗传算法有较大改进。