Incorporating mutation scheme into krill herd algorithm for global numerical optimization

Recently, Gandomi and Alavi proposed a robust meta-heuristic optimization algorithm, called Krill Herd (KH), for global optimization. To improve the performance of the KH algorithm, harmony search (HS) is applied to mutate between krill during the process of krill updating instead of physical diffusion used in KH. A novel hybrid meta-heuristic optimization approach HS/KH is proposed to solve global numerical optimization problem. HS/KH combines the exploration of harmony search (HS) with the exploitation of KH effectively, and hence, it can generate the promising candidate solutions. The detailed implementation procedure for this improved meta-heuristic method is also described. Fourteen standard benchmark functions are applied to verify the effects of these improvements, and it is demonstrated that, in most cases, the performance of this hybrid meta-heuristic method (HS/KH) is superior to, or at least highly competitive with, the standard KH and other population-based optimization methods, such as ACO, BBO, DE, ES, GA, HS, KH, PSO, and SGA. The effect of the HS/FA parameters is also analyzed.     

Two-dimensional complete neighborhood preserving embedding

Complete neighborhood preserving embedding (CNPE) is an improvement to the neighborhood preserving embedding (NPE) algorithm, which can address the singularity and stability problems of NPE and at the same time preserve useful discriminative information. However, CNPE works with vectorized representations of data, and thus, the original 2D face image matrices should be previously transformed into the same dimensional vectors. Such a matrix-to-vector transform usually leads to a high-dimensional image vector space, which makes the eigenanalysis quite difficult and time-consuming. Beyond computational issues, some spatial structural information between nearby pixels may be lost after vectorization. In this paper, we develop a new scheme for image feature extraction, namely, two-dimensional complete neighborhood preserving embedding (2D-CNPE). 2D-CNPE builds the eigenmatrix and the weight matrix which characterize local neighborhood properties of data directly based on the original face images, and then, the optimal embedding axes are obtained by performing an eigen-decomposition. Experimental results on three face databases show that the proposed 2D-CNPE achieves better performance than other feature extraction methods, such as Eigenfaces, Fisherfaces, and 2D-PCA.     

新版Auto CAD计算机辅助设计在我公司氯碱设计中的应用

随着计算机技术及外围设备的提高和完善 ,计算机辅助设计和计算机辅助工程技术得到了日益广泛应用 ,绘图技术也得到了很大的发展 ,并已成为工程制图发展的必然趋势。我公司应用美国ＡＵＴＯＤＥＳＫ公司推出的新版ＡｕｔｏＣＡＤ2 0 0 2中文版本 ,是当前国际上最为先进和流行的绘图软件之一 ,具有以下增强功能。1　新增设计中心图库 ,在绘图过程中 ,可边绘图 ,边自动将所绘单元图储存在设计中心库中 ,这样可重复和快速使用相同或相近单元图 ,或在绘制新图时 ,可从中心库中随时提取相同或相近单元图形来绘制新图。其次 ,在绘图过程中 ,也可把…     

氧化物对3CaO·3Al2O3·CaSO4形成的影响

借助XRD测试手段研究了Al2O3、SiO2、Fe2O3以及MgO几种生料中常见氧化物对高温固硫物相3CaO·3Al2O3·CaSO4形成的影响.结果表明,改变Al2O3的含量,不会对3CaO·3Al2O3·CaSO4的形成产生明显影响;Fe2O3及MgO的存在能降低3CaO·3Al2O3·CaSO4的形成温度,但也使其分解温度提前;SiO2的大量存在则会抑制3CaO·3Al2O3·CaSO4的形成.     

基于计算机测控技术的转矩流变仪的研制

介绍了基于计算机测控技术的聚合物转矩流变仪的研制，该仪器具有优良的性能指标，强大的数据文件处理能力、测试功能扩展能力，是高分子材料研究和开发的理想工具。     

顺酐化SBS的钠离聚体形式与丙烯酰胺的乳液接枝共聚

研究了顺酐化SBS的钠离聚体与丙烯酸胺以过氧化苯甲酰为引发剂的乳液聚合,得到了共聚的较佳条件.并以IR及DSC表征了试样的组成和多相结构.     

模糊学在点火元件优选中的应用

评价了点火元件的综合性能。文中的点火元件优选工作是模糊概念应用在工程中的尝试。综合评价结果与实际相符合。     

新型偶联剂对橡胶力学性能的影响

本文讨论了新型偶联剂用量对陶土填充橡胶与炭黑填充橡胶动态性能与力学性能的影响．并且用红外光谱对偶联剂改性陶土表面进行了表征。结果表明：该偶联剂明显提高硫化胶的动态性能、撕裂强度及陶土填充橡胶的拉伸强度，其用量超过１．５重量份对硫化胶的力学性能有不良影响。     

普通阴阳离子交换器改造为双层床

普通一级除盐系统阴阳离子交换器周期制水量易受原水水质影响而大幅度下降，为提高制水量，降低生产成本，将普通阴阳离子交换床改造为弱-强型树脂组合(强碱性苯乙烯系阴离子交换树脂和大孔型弱碱性苯乙烯系阴离子交换树脂组成的阴床、强酸性苯乙烯系阳离子交换树脂和大孔型弱酸性丙烯酸系阳离子交换树脂组成的阳床)的双层床,有效地解决了制水量变化的难题。     

对羟基苯甲酸酯的催化剂研究

综述了固体超强酸TiO2/SO42-,磷钨、硅钨杂多酸及固载杂多酸盐TiSiW12O40/TiO2,浓硫酸(微波常压法),Lewis酸(FeCl3·6H2O,Fe2(SO4)3·xH2O)等几种不同催化剂催化合成对羟基苯甲酸酯的实验结果.分析各种固体催化剂对该酯化反应的催化活性、选择性、重复使用性能及使用范围.