| 1. | The ship mooring evaluation function based on pattern search
提出小水线面中体五体船 |
| 2. | Varied steplength nonmonotone pattern search method
变步长非单调模式搜索法 |
| 3. | Application of pattern search method in yinchuan ' s pree nonlinear multi - goal planning mode
模式搜索法在银川市目标规划模型中的应用 |
| 4. | This hybrid algorithm applicates pattern search on each individual afer crossover operator and mutation operator of genetic algorithm , and improve the mutation operator to the big mutation operator in order to speeding convergence
本文提出的算法是在遗传算法的交叉和变异算子之后对每个个体进行单纯形局部寻优的单纯形混合遗传算法，并且对变异算子进行了改进，采用大变异算子，以达到加快收敛速度的目的。 |
| 5. | According to the observed results and the corresponding settlement calculation results , the objective function is established by using the least square method . with the pattern search method , the optimal estimate of the needed inverse - analysis parameter has been gained
根据实际观测值与相应的沉降计算值，应用最小二乘法原理建立目标函数，利用模式搜索方法( hook - jeeves法) ，通过寻优的方式获得待反演参数的最优估计。 |
| 6. | On the study of propulsion system optimization algorithm , first , the engine performance optimization problems are converted into one typical type of nonlinear optimization problem . then , these problems are solved with model assisted pattern search ( maps ) algorithm
在研究推进系统性能优化问题时，首先将发动机性能优化问题转化为一类典型非线性优化问题，然后利用模型辅助模式搜索( modelassistedpatternsearch )方法进行求解。 |
| 7. | These researches will help us to discover changing or developing principle of things , support to decision - making , etc . the thesis addresses several key technical problems of pattern mining and its search based similarity in time series , which covers feature patterns and relationship patterns mining , pattern search based similarity in time series and stream time series and issues concerning application system implementation oriented to analysis . major contributions of this thesis include : 1 . research of mining feature patterns in time series a novel method is proposed to discovery frequent pattern from time series
本文在分析时间序列特点和实际应用需求的基础上，针对时间序列的挖掘与相似性查找一些关键技术进行了研究，具体包括特征模式挖掘、多序列关联模式挖掘、相似性模式查找等方面，所做的工作和取得的创新成果体现在以下三个方面： 1 )时间序列特征模式挖掘研究首次提出了一种基于互关联后继树模型的时序特征模式挖掘方法。 |
| 8. | This paper improved the way of neighborhood search of sa algorithm . the extended pattern search is adopted , in which three ways are chosen , that can change the packing states of objects ( translation , rotation , swap ) and two kinds of pattern search matrices ( translation and rotation pattern search matrices ) are introduced
文中改进了模拟退火算法的搜索方法，采用扩展模式搜索：选择三种改变物体布局状态的方式(平移、旋转、交换) ，采取两种模式搜索矩阵(平移和旋转模式矩阵) 。 |
| 9. | Compared with the old ones , some improvements are obtained by using this method , such as pattern recognition scope , speed of pattern searching and matching , etc . furthermore , the new algorithm has stronger flexibility and stability . the information acquisition technique of intersected primitive based on combined relationship is provided . with the help of obtained engineering semantics , the correlative projections implying combined relationship among primitives are defined as combined factor
根据已经获取的工程语义，将隐含基元体之间组合关系的相关投影定义为组合因子，由此建立组合关系表，最后借助组合关系表，采用回溯的方法，即从二维的组合因子出发，找出它所隐含的两两基元体在三维空间中的组合关系，进而对该组合关系的主体?基元体的信息进行识别和获取。 |
| 10. | This hybrid algorithm take advange of local search of pattern search and whole search of genetic algorithm . it first confines the direction of large scale search to the area of high fitness by genetic algorithm , and then utilizes pattern search to search in the small area got by the searching of genetic algorithm . , thereby the optim value is got
该方法利用了单纯形法的局域搜索能力和遗传算法的全局搜索能力，通过遗传算法控制大范围搜索的方向，使得搜索向着适应度值高的区域发展，再通过单纯形法在遗传算法搜索到的区域内进行小范围的邻域搜索，从而能够得到高适应度值域的最优值。 |
