| 1. | New rivals on the scene . mga entertainment ' s bratz dolls come in a range of different
与此同时，芭比娃娃在玩具市场中也有一些时髦的新对手。 |
| 2. | Curvelet transform and contourlet transform are two new multiresolution geometry analysis ( mga ) methods which can represent images most effectively
Curvelet变换和con - tourlet变换是两种新的能够最优表示图像的多尺度几何分析方法。 |
| 3. | The tag of this paper makes a summary of research and gives expectation on research future about applications of mga in sar image processing
结束语对本文的工作进行了总结,对多尺度几何分析技术应用在sar图像处理领域的研究前景进行了展望。 |
| 4. | At present , mga absorbs more and more attentions from experts and scholars at home and abroad , moreover , they have valuable achievements
目前，多亲遗传算法已越来越引起了不少国内外专家和学者的关注，而且已出现了一些有价值的研究成果。 |
| 5. | Mga is a special kind of traditional genetic algorithm ( tga ) , but if differs from tga in a point that in mga , the crossover operation is among many individuals ( more than two ) while in tga it is among one or two , that is to say crossover operation is improved
多亲遗传算法与传统遗传算法不同的是：多亲遗传算法对传统遗传算法的交叉算子进行了改进，多亲遗传算子将由多个母体(大于2个)参与交叉产生新个体。 |
| 6. | This paper introduces main fields in sar image processing and the introduction emphasizes on speckle suppression which is the main field our task researches on ; this paper also introduces mga and the introduction emphasizes on curvelet transform and contourlet transform
本文介绍了sar图像处理的主要分支,重点讨论了本课题的主要研究领域? ?相干斑抑制;介绍了多尺度几何分析技术,重点研究了curvelet变换和con - tourlet变换。 |
| 7. | Multi - parent genetic algorithm ( mga ) is a heuristic search algorithm . mga has not been developed for a long time , but it has been preliminarily applied in many function optimization problem and many combinatorical optimization problem including nondeterministic polynomial completeness
多亲遗传算法是一种启发式搜索算法，它的发展时间并不长，但已经初步成功地应用到了一些函数优化问题、组合优化问题中，包括许多np完全问题。 |
| 8. | In the thesis sga ' s theory has been analysed deeply , in order to get over the disadvantages of sga some mesures have been put forward to form a new theory mga , and apply it in the pi adjustor parameters " optimization of the single loop and series loop control system , the simulation results achieve good control effect . in addition , a software named control system adjustor parameters optimization ( csapo ) has been completed , which can universally be used to optimize the pi parameters in self - balance control system
深刻剖析了基本遗传算法理论，对其存在的缺点提出了五种改进措施，新的改进遗传算法克服了其部分不足之处，并将新的改进遗传算法应用到单回路和串级回路两种控制系统的pi调节器参数优化中，仿真结果取得令人满意的控制效果。另外，完成了《控制系统调节器参数优化》 （ csapo ）软件，软件具有一定的通用性，能对有自平衡对象系统进行pi参数优化 |
| 9. | A modified genetic algorithm ( mga ) framework was developed and applied to the flowshop sequencing problems with objective of minimizing mean total flowtime . to improve the general genetic algorithm routine , two operations were introduced into the framework . firstly , the worst points were filtered off in each generation and replaced with the best individuals found in previous generations ; secondly , the most promising individual was selectively cultivating if a certain number of recent generations have not been improved yet . under conditions of flowshop machine , the initial population generation and crossover function can also be improved when the mga framework is implemented . computational experiments with random samples show that the mga is superior to general genetic algorithm in performance and comparable to special - purpose heuristic algorithms . the mga framework can also be easily extended to other optimizations even though it will be implemented differently in detail
提出了一个改进遗传算法的结构，并且应用于带有目标是最小平均总流程时间的流水调度排序中.为了改进一般遗传算法的程序，两个新的操作被引进到这个操作中.这两个操作为： 1 )过滤操作：过滤掉在每一代中的最坏的个体，用前一代中的最好的个体替代它； 2 )培育操作：当在一定代数内算法不改进时，选择一个培育操作用于培育最有希望的个体.通过大量的随机产生的问题的例子的计算机实验显示出，提出的算法的性能明显好于一般遗传算法，并且和此问题的最好的专门意义的启发式算法相匹配.新的mga框架很容易扩展到其它最优化当中，只是实施的详细的步骤有所不同 |
| 10. | This literature suggests a non - linear muskingum model which can exactly reflect the above mentioned effect and offers an effective approach : mixed generating arithmetic ( abbreviated as mga ) which is capable of estimating the parameters k 、 x 、 m in a non - linear muskingum approach with considerable accuracy and high speed of convergence
本文提出正确反映这种作用的非线性马斯京根模型成为必要，并提出一种十分有效的方法混合遗传算法(以下简称mga ) ，能很好地估计非线性马斯京根模型中的参数k , x , m之值，而且计算精度高，收敛速度快。 |
