基于微分进化算子的量子粒子群优化算法及应用

分析了量子粒子群优化算法(Quantum-behaved Particle Swarm Optimization,QPSO)的进化方程,指出其存在的局部收敛问题,通过将微分进化(Differential Evolution,DE)的基本操作思想引入到QPSO中,提出了改进的QPSO算法(QPSO-DE);算法改进的方法是在粒子搜索过程中,以一定的概率对粒子的每一维执行微分进化操作,以增加粒子的随机性,从而减少了粒子群体因多样性缺失而易于陷入局部最优或停滞的情况,增强了粒子群体的搜索能力,提高了算法的优化性能;对多个标准测试函数及在IIR数字滤波器优化设计中的仿真实验结果表明,与PSO算法和QPSO算法相比,QPSO-DE算法能够取得更好的优化结果。     

空投设备缓冲气囊的优化设计

利用LS-DYNA对缓冲空投设备的气囊进行仿真计算,模拟其缓冲过程。同时利用遗传算法对气囊的排气孔面积、初始充气压力和排气压力进行优化。优化后的结果对空投实验具有很好的指导意义,可以减少气囊设计实验次数从而降低实验的成本。     

基于双相移组合全相位法的FIR陷波器设计

提出新的双相移组合全相位设计FIR陷波器算法。根据单窗情况下全相位滤波的3个重要性质,利用两个互为对称的陷波频率向量用全相位方法设计出两个子滤波器,并构造两个互为共轭的相移向量分别对两个子滤波器进行相移,再将两者进行组合即可生成陷波器。通过理论证明:陷波器的设计可通过代入一简单公式来实现,计算复杂度非常低。实验表明:通过改变相移参数值,在任意频率点上陷波器的衰减值可达-330dB。     

HOW ARE PRODUCT-SERVICE COMBINED OFFERS PROVIDED IN GERMANY AND ITALY？ ANALYSIS WITH COMPANY SIZES AND COUNTRIES

A new business concept that offers products and services in a different way of traditional product-sales businesses is getting more attention especially in manufacturing industries. This paper investigates how this new business by means of integration of products and services is achieved in Germany and Italy. In addition, it analyzes the differences according to the company sizes. The results include that this type of business is in many cases motivated by their focus on customers and often consists of physical products and their maintenance. The Italian companies, as opposed to the German ones, often design their physical products specifically for this type of offers. From the analysis based on the size difference, small companies are found to achieve specific design for this type of offers while owning physical products. There do not seem to be any established methods or tools developed to support the development of such offers and within such methods/tools there would be room for more adaptation in form of physical product design.     

Design of control sequence of pulses for the population transfer of high dimensional spin 1/2 quantum systems

On the basis of the relationship between the Hamiltonian of spin 1/2 quantum system under control and the energy level structure and transitions, a radio frequency pulse sequence is designed using intuitive and half counter-intuitive sequences of pulse to transfer the population of the 3-qubit system coherently. The effectiveness of the designed control sequence is verified through the system simulation experiment of the evolution of state. In principle, the design method of the control pulse sequence proposed can be generalized to use in the quantum systems of higher dimension.     

The Design of Behavior Management Institution Based on Special Symbols and Measure Optimizing-Taking the Design of the Institution of Controlling the Pollution Behavior of Enterprises as an Example

Taking the institution design of controlling the pollution behavior of enterprises as an example, the symbol system specialized for the design and analysis of behavior management institution is put forward, which predigests the institution design greatly and make the process of institution design much like the engineering design. The measure combination method for improving the parameters of the institution, the arithmetic for calculating the validity of the institution and the arithmetic for calculating the behavior probability of the irrational managed are also put forward, which make the design and analysis technology of behavior management institution more practical.     

基于量子进化算法的空区激光探测点布局设计

针对地下空区边界不规则并且可能包含多个遗留矿柱,如何布局合适的探测点以便三维激光探头能扫描空区内部全貌的工程难题,提出了在基于空区初步资料获得的水平特征截面图上预先布置待选探测点,设计探测点布局方案评价函数,采用量子进化算法进行探测点布局优化的方案.优化设计中,考虑了采空区边界的凸凹不规则性及内部包含多个边界不规则遗留矿柱,以及激光探测范围等因素,建立了通用优化模型,寻求探测点最少的技术及经济上的最优布局方案.实例运算及统计分析结果表明,和遗传算法相比,本文提出的量子进化算法优化模型可快速得出优化的探测点布局方案,保证三维激光探测法成功实施,为复杂空区三维激光探测提供科学决策依据.     

不良贷款有无回收判别:一类可选变量的支持向量机方法

针对不良贷款有无回收判别问题中属性变量数目多、示性变量比例高的特点,提出了一类可选择变量的支持向量机方法进行判别预测.该方法一是将逐步回归的支持向量机思想应用在模型变量的选择上,二是将线性逐步回归的结果作为模型选择变量的初始状态,解决了传统支持向量机只能使用固定变量的问题. 实证结果显示,该方法不仅提高了样本外预测的正确率, 而且具有很好的稳健性.     

Design of complex FIR filters with arbitrary magnitude and group delay responses

To design approximately linear-phase complex coefficient finite impulse response (FIR) digital filters with arbitrary magnitude and group delay responses, a novel neural network approach is studied. The approach is based on a batch back-propagation neural network algorithm by directly minimizing the real magnitude error and phase error from the linear-phase to obtain the filter’s coefficients. The approach can deal with both the real and complex coefficient FIR digital filters design problems. The main advantage of the proposed design method is the significant reduction in the group delay error. The effectiveness of the proposed method is illustrated with two optimal design examples.     

基于扩展Petri网的建筑产品设计过程工作流模型

针对建筑产品设计过程工作流的动态性和不确定性的管理与控制,提出基于扩展Petri网的建筑产品设计过程工作流模型,并以一般商用办公楼的设备设计过程为例构建模型,应用CPN Tools仿真软件进行仿真分析和过程优化.结果表明,提出的工作流模型对建筑产品设计过程管理和优化具有明显效果.