parallel selection 中文意思是什麼
parallel selection
解釋
并行選擇-
At the same time, this thesis focuses on the theoretical research on the lbgk method and discusses the inner relation between the lbgk and the n - s equations. the relationship among the selection of velocity group, the forms of equilibrium distribution functions, and the macroscopic n - s equations is clearly revealed. lbgk method has many advantages, such as easy dealing with the complex boundary conditions and high amenability to parallel computing
本文系統地總結了各種lbgk模型，特別是對lbgk模擬二相流和多相流模型進行了認真地研究；同時從新的角度對lbgk進行了理論研究，用全新的方法探討了lbgk和n - s方程的本質聯系，清晰地揭示了速度族的選擇、平衡態分佈函數的形式和宏觀ns方程三者之間的關系。 -
In regard to the knowledge by learning, we present that the super - dimensional cube, which has the characteristic to integrate various knowledge representation conveniently, is used as the architecture of knowledge base. the speediness algorithm of knowledge access, the best matching cube selection algorithm, is discussed in this paper when the super - dimensional cube is used as the architecture of knowledge base. the time complexity of the algorithm is analyzed, and the parallel algorithm is discussed also
在這篇文章中我們提出一種多智能體系統新的協商模型：基於「這是什麼」 （或「要做什麼」 ）學習機制的協商而不是常規的「怎麼做」模型；學習得到的知識，為了方便集成多種知識表示方法，我們運用高維方體的知識庫體系結構，在此基礎上進行快速訪問演算法的設計，分析了演算法的復雜度，並討論了演算法的并行實現；在模型中，我們還根據功能的需要與環境的需要，提出了智能體的三維模型。 -
Genetic algorithm, as a computational model simulating the biological evolution process of the genetic selection theory of dar - win, is a whole new global optimization algorithm and is widely used in many fields with its remarkable characteristic of simplicity, commonability, stability, suitability for parallel processing, high - efficiency, and practibility. on the other hand, there are many op - timization problems in the field of digital image processing, such as image compression, pattern - recognition, image rectification, image segmentation, 3d image recovery, image inquiry, and or so. in fact all these problems can be generalized as the problem of searching for a global optimal solution in a large solution space, which is the classic application field of genetic algorithm
遺傳演算法是模擬達爾文的遺傳選擇和自然淘汰的生物進化過程的計算模型，是一種新的全局優化搜索演算法，具有簡單通用、穩定性強、適于并行處理以及高效、實用等顯著特點，在很多領域得到了廣泛應用，另一方面，在圖像處理領域有很多優化問題如圖像壓縮，模式識別，圖像校準，圖像分割，三維重建，圖像檢索等等，實際上都等同於一個大范圍搜索尋優問題，而最優化問題是遺傳演算法經典應用領域，因此遺傳演算法完全勝任在圖像處理中優化方面的計算。 -
Aim at ubiquitous parallel multi - reservoir structure in our country ' s basin, the universal objective function including coefficient bi embodying a spatial significance difference at different flood control points and variable ai denoting a selection of scheduling mode is established, which provide a valid intervenor interface for flood control consultation decision. according to the real - time requirement, a model of reservoir storage allocation is proposed, which embody basic idea of phasic compensation. passing the dynamic correction to cut down the disadvantageous influence that indetermination result in on the certain degree, joining together the step alternation solving method, this model can maximally consider bias of decision makers, ensure the rationality and practicability of the solutions
針對我國流域中普遍存在的並聯庫群結構，論文提出包含不同防洪點重要性的系數_ i和選擇調度模式的變量_ i的通用目標函數，為防洪會商決策，提供了有效的人工干預介面，根據實時性要求提出動態分配防洪庫容的庫容分配方法，體現了相機補償的基本思想，通過動態修正在一定程度上可以削減不確定性造成的不利影響，結合分步迭代求解技術，能最大限度體現決策者的偏好，保障解的合理性和可操作性。 -
Recently years, there is a new optimization method named genetic algorithms ( ga ) which is based on the numbers of genus groups. this method is a kind of random searching method which simulated natural selection and evolution. compared with traditional optimization method, genetic algorithms has two notable characters. one character is latent parallel and the other is seaching in the whole area. and genetic algorithms has some advantage which traditional method do n ' t have, for example, in genetic algorithms we did n ' t need the calculation of grade
遺傳演算法[ geneticalgorithms ，簡稱ga ]是近些年來出現的一種模仿自然選擇與進化的基於種群數目的隨機搜索演算法，是優化領域的一個新成員。與常規優化演算法相比，遺傳演算法具有隱含并行性和全局搜索特性這兩大顯著特徵，並具有一些常規優化演算法所無法擁有的優點，如不需梯度運算等。 -
Making use of the idea of the parallel genetic algorithms, presenting the adaptive multiple subpopulation evolutive strategy. presenting extinction and immigration strategy in order to avoid the similar or even same individuals appear. in order to enhance convergence velocity of reactive power optimization of the radial distribution system, combining the characteristic of the radial distribution system, a sensitivity analysis approach was build up for optimal selection of capacitors and mutation of transformer tap changer
為了提高配電網無功優化的收斂速度，結合配電網的特點，提出採用簡單可行的靈敏度公式選擇無功電容補償器的安裝地點，並用靈敏度分析變異變壓器分接頭，使變異運算元的選取更符合配電網無功優化問題中關于調節變壓器分接頭的實際情況，減少了一些不必要的變異運算，使適應性和魯棒性加強；根據實際情況採用無功補償電容器的啟發式變異，使變異運算元的選取更符合無功優化問題中關于補償電容器的實際。 -
The portable, extensible toolkit for scientific computation, petsc, has become a model of the high performance numerical software which gains huge attention and wide use in commuting community throughout the world. our selection of petsc as the target model of studying is based on following reasons : petsc uses mpi for all parallel communication, which is most fittable for general scalable computing, especially on our pc - cluster platform. petsc is a general purpose suite : of tools for the scalable solution of partial differential equations and related problems, which is much in accord with our research focus
可移植、可擴展科學計算軟體包petsc是近來在國際上很受關注、應用廣泛的高性能并行數值軟體開發典範之一，我們對它的重點學習與研究主要出於以下考慮： petsc基於mpi并行程序設計平臺，適合於我們常用的并行計算機尤其是機群系統；它以偏微分方程、代數方程求解功能為實現重點，非常切合於我們的主要研究方向和應用需求；尤為重要的是，在其良好的軟體使用模式和執行性能下隱含的先進軟體設計思想和程序實現方案，對我們今後的數值軟體開發很有借鑒意義。 -
A parallel multi - selection algorithm with exponential partition on erew pram model
模型上指數級分割待處理數據集的并行多選演算法 -
Genetic algorithm ( ga ) is a randomized parallel search algorithm that model natural selection, the process of evolution. ga has been widely used in engineering problems
遺傳演算法是一種模擬生物自然選擇、進化過程的隨機、并行搜索演算法，該演算法廣泛應用於解決工程技術問題。
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