mga 中文意思是什麼

mga 解釋
北美中陸地球物理異常
  1. New rivals on the scene. mga entertainment ' s bratz dolls come in a range of different

    與此同時，芭比娃娃在玩具市場中也有一些時髦的新對手。
  2. 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

    提出了一個改進遺傳演算法的結構，並且應用於帶有目標是最小平均總流程時間的流水調度排序中.為了改進一般遺傳演算法的程序，兩個新的操作被引進到這個操作中.這兩個操作為： 1 ）過濾操作：過濾掉在每一代中的最壞的個體，用前一代中的最好的個體替代它； 2 ）培育操作：當在一定代數內演算法不改進時，選擇一個培育操作用於培育最有希望的個體.通過大量的隨機產生的問題的例子的計算機實驗顯示出，提出的演算法的性能明顯好於一般遺傳演算法，並且和此問題的最好的專門意義的啟發式演算法相匹配.新的mga框架很容易擴展到其它最優化當中，只是實施的詳細的步驟有所不同
  3. 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

    本文提出正確反映這種作用的非線性馬斯京根模型成為必要，並提出一種十分有效的方法混合遺傳演算法（以下簡稱mga ） ，能很好地估計非線性馬斯京根模型中的參數k ， x ， m之值，而且計算精度高，收斂速度快。
  4. 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

    深刻剖析了基本遺傳演算法理論，對其存在的缺點提出了五種改進措施，新的改進遺傳演算法克服了其部分不足之處，並將新的改進遺傳演算法應用到單迴路和串級迴路兩種控制系統的pi調節器參數優化中，模擬結果取得令人滿意的控制效果。另外，完成了《控制系統調節器參數優化》 （ csapo ）軟體，軟體具有一定的通用性，能對有自平衡對象系統進行pi參數優化
  5. Curvelet transform and contourlet transform are two new multiresolution geometry analysis ( mga ) methods which can represent images most effectively

    Curvelet變換和con - tourlet變換是兩種新的能夠最優表示圖像的多尺度幾何分析方法。
  6. The tag of this paper makes a summary of research and gives expectation on research future about applications of mga in sar image processing

    結束語對本文的工作進行了總結，對多尺度幾何分析技術應用在sar圖像處理領域的研究前景進行了展望。
  7. At present, mga absorbs more and more attentions from experts and scholars at home and abroad, moreover, they have valuable achievements

    目前，多親遺傳演算法已越來越引起了不少國內外專家和學者的關注，而且已出現了一些有價值的研究成果。
  8. 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

    多親遺傳演算法與傳統遺傳演算法不同的是：多親遺傳演算法對傳統遺傳演算法的交叉運算元進行了改進，多親遺傳運算元將由多個母體（大於2個）參與交叉產生新個體。
  9. 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

    本文介紹了sar圖像處理的主要分支，重點討論了本課題的主要研究領域? ?相干斑抑制;介紹了多尺度幾何分析技術，重點研究了curvelet變換和con - tourlet變換。
  10. 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

    多親遺傳演算法是一種啟發式搜索演算法，它的發展時間並不長，但已經初步成功地應用到了一些函數優化問題、組合優化問題中，包括許多np完全問題。
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