A strategic flight conflict avoidance approach based on a memetic algorithm

Conflict avoidance （CA） plays a crucial role in guaranteeing the airspace safety. The cur- rent approaches, mostly focusing on a short-term situation which eliminates conflicts via local adjust- ment, cannot provide a global solution. Recently, long-term conflict avoidance approaches, which are proposed to provide solutions via strategically planning traffic flow from a global view, have attracted more attentions. With consideration of the situation in China, there are thousands of flights per day and the air route network is large and complex, which makes the long-term problem to be a large-scale combinatorial optimization problem with complex constraints. To minimize the risk of premature convergence being faced by current approaches and obtain higher quality solutions, in this work, we present an effective strategic framework based on a memetic algorithm （MA）, which can markedly improve search capability via a combination of population-based global search and local improve- ments made by individuals. In addition, a specially designed local search operator and an adaptive local search frequency strategy are proposed to improve the solution quality. Furthermore, a fast genetic algorithm （GA） is presented as the global optimization method. Empirical studies using real traffic data of the Chinese air route network and daily flight plans show that our approach outper- formed the existing approaches including the GA .based approach and the cooperative coevolution based approach as well as some well-known memetic algorithm based approaches.     

A salient edges detection algorithm of multi-sensor images and its rapid calculation based on PFCM kernel clustering

Multi-sensor image matching based on salient edges has broad prospect in applications, but it is difficult to extract salient edges of real multi-sensor images with noises fast and accurately by using common algorithms. According to the analysis of the features of salient edges, a novel salient edges detection algorithm and its rapid calculation are proposed based on possibility fuzzy C-means （PFCM） kernel clustering using two-dimensional vectors composed of the values of gray and texture. PFCM clustering can overcome the shortcomings that fuzzy C-means （FCM） cluster- ing is sensitive to noises and possibility C-means （PCM） clustering tends to find identical clusters. On this basis, a method is proposed to improve real-time performance by compressing data sets based on the idea of data reduction in the field of mathematical analysis. In addition, the idea that kernel-space is linearly separable is used to enhance robustness further. Experimental results show that this method extracts salient edges for real multi-sensor images with noises more accurately than the algorithm based on force fields and the FCM algorithm; and the proposed method is on average about 56 times faster than the PFCM algorithm in real time and has better robustness.     

手持式激光测距仪"测距标准偏差综合评定"的扩展不确定度

在确定的函数关系(数学模型)中,因变量(输出量)随自变量(输入量)的变化规律完全由数学逻辑所确定,自变量到因变量的传递系数(灵敏系数)也可由因变量的标准差和自变量的标准差之比所决定,而与自变量的来历(测量的或者给定的)没有关系[1].本文根据这一基本原理,采用模拟自变量随机变化的方法,成功计算了手持式激光测距仪的测距固定偏差和比例偏差系数的测量不确定度,从而计算出测距标准差综合评定的扩展不确定度,同时解决了复杂的数学模型中多个输入量到输出量的灵敏系数和输出量的不确定度的计算问题.     

CAI课件的创作策略与使用体会

本文结合自己开发和使用《微机应用基础》多媒体教学课件实践过程，简单阐述了几点CAI课件创作的一般策略和使用体会。     

超声光栅测声速

介绍了超声光栅测声速的实验，澄清了实验中的一些问题，并讨论了包括声压大小对实验结果的影响以及时间的累积对实时光栅产生的影响等问题，用数值分析的方式给予解答。     

中俄军演观摩/双雄共舞——谈俄、中军演的进程和意义

最近举行的俄、中“和平使命2005”军事演习引起各国重视，不仅是因为这是俄、中关系发展史的头一遭，更由于此次演习对两国政治、经济关系、地缘政治具有特别重大意义之故，所以其进程和未来发展很值得注意。[编者按]     

一种测定大值的风速计

简单叙述了研制1种大风速值简易精密测量仪器原理和方法，并对测量误差进行了估算。     

微机在发展光学计测中的作用

通过列举材料，阐述了微型电子计算机的特点与功能，微机在光学计测中的作用，展望了微机在未来光学计测中的应用前景。     

飞机左右带外挂对称结构振型局部化研究

本文研究了带外挂飞机失调对称结构的振局产化现象，推出了单边联接刚度失调时的振型局部化判据，算例的结果证实了判据的正确性和可用性。此判据可供飞机结构设计选取结构参数时参考之用。