Self-Adaptive Genetic Algorithm for Clustering

Clustering is a hard combinatorial problem which has many applications in science and practice. Genetic algorithms (GAs) have turned out to be very effective in solving the clustering problem. However, GAs have many parameters, the optimal selection of which depends on the problem instance. We introduce a new self-adaptive GA that finds the parameter setup on-line during the execution of the algorithm. In this way, the algorithm is able to find the most suitable combination of the available components. The method is robust and achieves results comparable to or better than a carefully fine-tuned non-adaptive GA.     

三维各向异性叉树网格流场自适应算法研究

建立了三维叉树形网格的数据结构,并将结构网格的有限体积法引入到叉树网格中,建立了相应的NS方程求解方法。在此基础上完善了包括各向异性自适应判别、合并/分裂、网格优化等步骤的算法,并提出了对流场结构进行“保护”性加密的优化加密方式。基于自适应叉树网格对高超声速横向喷流流场进行了数值模拟,捕捉到细致的流场结构,并将壁面压力系数计算值与文献试验值比较,得到了很好的模拟效果,具有较高的流场分辨精度。     

实时光电混合联合变换相关器单元的实验研究

本文根据联合变换相关的原理，提出了一种实时光电混合联合变换相关器，它采用一个液晶光阀作为输入器件，用另一个液晶光阀记录和显示联合功率谱，所给出的实验结果证实了该系统设计及性能分析的正确性。     

Control of spatiotemporal chaos: A study with an autocatalytic reaction-diffusion system

The characterization of chaotic spatiotemporal dynamics has been studied for a representative nonlinear autocatalytic reaction mechanism coupled with diffusion. This has been carried out by an analysis of the Lyapunov spectrum in spatiallylocalised regions. The linear scaling relationships observed in the invariant measures as a function of thesub-system size have been utilized to assess the controllability, stability and synchronization properties of the chaotic dynamics. The dynamical synchronization properties of this high-dimensional system has been analyzed using suitable Lyapunov functionals. The possibility of controlling spatiotemporal chaos for relevant objectives using available noisy scalar time-series data with simultaneous self-adaptation of the control parameter(s) has also been discussed.     

滤波器与随机共振结合检测微弱信号

基于双稳随机共振系统及滤波器的不同特性,本文提出了一种将两者结合起来检测微弱周期信号的方法,先用自适应前置滤波器对输入的弱周期信号及噪声进行滤波,再使其通过双稳随机共振系统,进而检测出弱信号。对比只有双稳随机共振的系统,仿真结果表明此时的输出信号中待测信号频谱幅度得到了很大的提高,且周围的干扰信号也得到了明显的削弱,即两者的结合使用可以更好的检测出微弱信号,这对强噪声背景下的信号检测有很强的实用性。     

束晕-混沌的神经网络自适应控制

 理论分析了强流离子束在周期磁场聚焦通道中传输时产生的束晕 混沌动力学行为,给出了近似反映实际聚焦磁场的余弦函数形式。然后利用神经网络方法对非线性复杂系统控制的优越性,提出前馈反传神经网络方法对强流离子束中束晕 混沌进行自适应控制。通过适当选择的神经网络控制结构和线性反馈系数以及自适应调整神经网络的权系数,可将强流离子束的包络半径达到束匹配半径的控制目标,且束包络的抖动大小明显减少,束晕 混沌现象得到了明显的抑制。     

流场自适应叉树网格数值模拟三维复杂超声速流场

建立了基于分区结构网格的三维贴体叉树形网格的数据结构,并阐述了在此基础上进行自适应分裂/合并判别方法.为节省网格量和保证流场结构捕捉质量,提出对自适应程度进行区域性控制,以及对流场结构进行"保护"性预加密的优化方式.通过应用该网格对三维复杂超声速流场算例的计算,证明该方法对网格加密控制方便,对流场结构分辨率高.     

四通道实时联合变换相关器

提出把光学波阵面分割复用器用于单通道实时光电混合联合变换相关系统实现四通道实时相关，使单通道系统扩展为具有多个独立通道的系统，使系统的容量和处理速度提高数倍，使系统的性能得以改善。给出了新系统的设计方案、工作原理和实验结果。     

Comparison Study of Two Mehods for Realizing Real-time High-efficiency JTC

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