CGA技术的改进与研究

在移动通信的对端绑定更新过程中,对端节点(CN)的任意性及其节点密钥部署的难题使得IPSecESP技术完全无法适用.CGA技术是这种问题的典型解决方案,但CGA技术使用了高计算强度的校验、签名等运算,其性能及实用性很容易受到DoS攻击、哄骗攻击等的影响.分析了通用网络环境和攻击者的特点,改进了CGA技术的会话性能,论证了改进方案的合理性和有效性.最后通过仿真实验,证明改进方法明显提高了CGA协议抗攻击的性能.     

改进CGA在3D动漫造型设计中的应用

为自动生成新颖多样的3D动漫造型,提出一种改进的元胞遗传算法(CGA)。使用ACIS规则表达式对已有的3D动漫造型在3个方向上实施非均匀缩放变形,采用树结构编码生成长度和内容变化较大的规则表达式,通过人机交互的方式,利用专家知识确定个体适应度值。基于3D动漫造型创新系统ECTDS的实验结果表明,该算法可以生成一系列生动的创新造型。     

细间距陶瓷封装柱状阵列件组装工艺

CGA(陶瓷栅格阵列)封装件由于具有良好的散热性、高可靠性等优势,在军事、航天领域的应用正不断增多.从CGA件的封装结构、设计尺寸到装焊工艺进行了介绍和分析,对装配过程中的难点、关键点作出了说明和探讨.     

Growing Innovative Calcium Carbonate Morphologies by Utilizing the Colloidal Gas Aphron System as a Surfactant-Based Template Method

Many studies have been conducted to study the various polymorphs and morphologies of calcium carbonate crystals in nature and living organisms. In this experimental work, a novel method has been employed to crystallize calcium carbonate by using colloidal gas aphron dispersion. The polymorph and morphology of prepared particles were investigated using scanning electron microscopy (SEM), X-ray diffraction (XRD), and Fourier transform infrared spectrometry techniques. SEM and XRD analyses demonstrated that the morphology of synthesized CaCO₃ can be changed from spherical (vaterite phase) to novel rod and plate-like shapes (mixture of vaterite and calcite phases) with changes in the surfactant concentration. The quantitative examination results of different calcium carbonate polymorph orientations showed that the precursor concentrations had no significant effect on the orientation of calcite phase, but rather they affected the orientation development of vaterite phase at a higher surfactant concentration.     

克隆遗传算法与模拟退火算法相结合的配电网络重构

配电网重构可以提高配电网运行的安全性、经济性和供电质量,对于当前国内配电自动化系统建设和应用具有重要意义。将克隆遗传算法(CGA)与退火算法(SA)结合起来,把退火算法中的Metropolis抽样准则融入到克隆遗传算法中,形成克隆遗传退火算法(CGSA)。以网损最小为目标函数,以配电网电压降的限制、线路电流量的限制等为约束条件,在考虑配电网自身特点的基础上,以IEEE33节点为算例,利用克隆遗传退火算法求解。结果证明该优化算法具有较好的全局收敛性和收敛速度。     

基于协同进化遗传算法的微网经济环保调度

为合理调度分布式电源使微网经济和可靠运行,提出一种基于协同进化遗传算法实现微电网分布式电源出力调度的方法。建立了冷热电联产型的微网经济环保调度模型,新增考虑热备用约束条件;建立分阶段目标函数,将蓄电池虚拟放电和充电价格计入群体寻优目标函数;给合协同进化遗传算法,使用群体寻优目标函数和精英寻优目标函数寻求分阶段经济调度最优解;给出了孤网和并网运行方式下的调度策略。通过算例分析了并网和孤网两种运行方式下冬季的经济调度方案,结果表明调度模型和算法是有效的。     

胶质气体泡沫的制备及其在重油悬浮床加氢水溶性催化剂分散上的应用

 以悬浮床加氢水溶性催化剂前体水溶液作为溶剂、以起泡剂作为溶质,制备胶质气体泡沫（CGA）,并对其结构和稳定性进行了探讨;以辽河常压渣油和委内瑞拉常压渣油为原料油,对 CGA 分散水溶性催化剂的分散效果进行了光学显微镜观察,并评价了其悬浮床加氢反应的性能。结果表明,与催化剂前体水溶液直接分散相比,CGA 分散的辽河常压渣油悬浮床加氢的生焦率由2.33%降至1.67%, 委内瑞拉常压渣油的生焦率由2.74%降至2.05%;馏分油收率有所提高。     

一种NDP中间人攻击及对策

邻居发现协议（Neighbor Discovery Protoc01,NDP）作为IPv6协议的重要组成部分,取代了IPv4中的ARP协议、ICMP路由发现和ICMP重定向功能。文章主要分析了在使用CGA（cryptographically Generated Addresses）保护NDP安全情况下存在的一种新的中间人攻击,并在此基础上利用改进的CGA来防御这种中间人攻击,同时分析了这种改进的可行性及优点。     

Hybrid evolutionary algorithms in a SVR-based electric load forecasting model

Accurately electric load forecasting has become the most important issue in energy management; however, electric load often presents nonlinear data patterns. Therefore, looking for a novel forecasting approach with strong general nonlinear mapping capabilities is essential. Support vector regression (SVR) reveals superior nonlinear modeling capabilities by applying the structural risk minimization principle to minimize an upper bound of the generalization errors, it is quite different with ANNs model that minimizing the training errors. The purpose of this paper is to present a SVR model with a hybrid evolutionary algorithm (chaotic genetic algorithm, CGA) to forecast the electric loads, CGA is applied to the parameter determine of SVR model. With the increase of the complexity and the larger problem scale of electric loads, genetic algorithms (GAs) are often faced with the problems of premature convergence, slowly reaching the global optimal solution or trapping into a local optimum. The proposed CGA based on the chaos optimization algorithm and GAs, which employs internal randomness of chaos iterations, is used to overcome premature local optimum in determining three parameters of a SVR model. The empirical results indicate that the SVR model with CGA (SVRCGA) results in better forecasting performance than the other methods, namely SVMG (SVM model with GAs), regression model, and ANN model.     

基于混合协同进化算法的Web服务组合演化策略

为了在服务组合演化过程中高效地选择满足服务请求的Web服务,提出了一种基于混合协同进化算法的Web服务组合演化策略。首先,利用改进模糊C均值聚类算法将Web服务演化单元按应用分类;然后,利用带权值的粒子群算法对划分好的子群进行内部择优;最后,对各个子群进行协同进化,使得针对用户服务请求,能够选出最优Web服务演化组合。实验结果表明,混合协同进化算法无论在算法稳定性或是算法运算时间上都优于传统协同进化算法,且对于Web环境下大量的服务请求能够提供优质、高效的服务。