探索曲面结构的小生境遗传算法

提出了具有适应值曲面结构自学习能力的多区域并行局部搜索算子PLS和约束交叉算子GC，定性地分析了它们的作用机制，给出了基子仿真实验数据的遗传算法收敛速度和全局收敛可靠性的定量计算方法。仿真实验数据表明，PLS能有效地提高搜索速度并维持足够的种群基因多样度，GC可有效地微调解的质量，使改进的遗传算法的全局收敛速度和收敛可靠性均显著地优于标准遗传算法，并具有良好的鲁棒性和稳定性．     

集值锥映象不动点指数的若干结论及应用

本文利用实Banach空间中锥的拟正规性(见[1])给出了集值锥映象不动点指数的若干结论及不动点定理,这些结果是[2]中相应结果的改进。     

扩散半群关于Lipschitz常数的压缩性

使用耦合方法研究扩散半群关于Ｌｉｐｓｃｈｉｔｚ常数的压缩性，所获结果广于Ｈｅｒｂｓｔ和Ｐｉｔｔ的相应定理，并在一些简单情形优于他们的估计。     

活化剂对Al－Cr扩散层中孔穴形成的影响

Ｎｉ衬底用粉末包装法先扩散Ａｌ再扩散Ｃｒ时，在Ａｌ—Ｃｒ扩散层内产生了孔穴。它形成的原因是：活化剂ＮＨ４Ｃｌ加热分解时生成ＨＣｌ气体，与已形成扩散层中的Ａｌ作用，使其从扩散层中逃逸，而在原来Ａｌ的位置上产生了孔穴。含有孔穴的Ａｌ－Ｃｒ扩散层的抗氧化能力明显降低。     

详细规划设计中的经济分析初探

社会主义市场经济要求城市规划设计进行经济分析。文章从影响投资效益因素分析入手，探讨了投资效益的指标及计算方法。     

Study on the Reliability Evaluation of Qualitative Indices in Multi-Objective Decision

Qualitative indices in multi-objective decision can usually be evaluated and measured by mathematical methods or models, but the obtained results are sometimes inaccurate because of fuzziness of indices. To improve the accuracy and reliability of the evaluation results, set-value statistic principle is applied, and accordingly four evaluation methods are obtained. Meanwhile, these methods are compared briefly.     

Optimal Control of Teaching Process

It is clearly illustrated in[1 ] ,the quantity analysis of the dynamic process of teachingeffects has been clearly illustrated in the first reference,according to which we areinformed of the mathematic model of the teaching process;the function of teachers dwingthe process;as well as the influere on the process of comprehending ofthe students causedby several different functions.But that confines in the specific relationship betweenteaching and learly as far as a single different class,a concre…     

An error variance approach to two-mode hierarchical clustering

A new agglomerative method is proposed for the simultaneous hierarchical clustering of row and column elements of a two-mode data matrix. The procedure yields a nested sequence of partitions of the union of two sets of entities (modes). A two-mode cluster is defined as the union of subsets of the respective modes. At each step of the agglomerative process, the algorithm merges those clusters whose fusion results in the smallest possible increase in an internal heterogeneity measure. This measure takes into account both the variance within the respective cluster and its centroid effect defined as the squared deviation of its mean from the maximum entry in the input matrix. The procedure optionally yields an overlapping cluster solution by assigning further row and/or column elements to clusters existing at a preselected hierarchical level. Applications to real data sets drawn from consumer research concerning brand-switching behavior and from personality research concerning the interaction of behaviors and situations demonstrate the efficacy of the method at revealing the underlying two-mode similarity structure.