隨機化演算法 的英文怎麼說

中文拼音 [suíjīhuàyǎnsuànfǎ]
隨機化演算法 英文
randomized algorithm
  • 隨 : Ⅰ動詞1 （跟; 跟隨） follow 2 （順從） comply with; adapt to 3 （任憑; 由著） let （sb do as he li...
  • 機 : machineengine
  • 演 : 動詞1 （演變; 演化） develop; evolve 2 （發揮） deduce; elaborate 3 （依照程式練習或計算） drill;...
  • 算 : Ⅰ動詞1 （計算數目） calculate; reckon; compute; figure 2 （計算進去） include; count 3 （謀劃;計...
  • 法 : Ⅰ名詞1 （由國家制定或認可的行為規則的總稱） law 2 （方法; 方式） way; method; mode; means 3 （標...
  • 隨機 : random stochasticrandom
  1. Randomized algorithms ; learning theory ; robust control

    隨機化演算法學習理論魯棒控制
  2. Robust control design based on randomized algorithms

    基於隨機化演算法的魯棒控制器設計
  3. Particle swarm optimization ( pso ) is inspired by social behavior of bird flocking or fish schooling. it is a population - based, self - adaptive search optimization technique. pso is simple in concept, few in parameters, and easy in implementation

    粒子群優化演算法（ particleswarmoptimization ， pso演算法）源於鳥群和魚群群體運動行為的研究，是一種基於種群搜索策略的自適應隨機演算法，是進化計算領域中的一個新的分支。
  4. With the development of the network and the multi - processor system, the research, simulation and the impemeni of the system - level fault diagnosis which is the very important means to increase the reliability of the system, are becoming more and more important. on the system - leve1 fault diagnosis, based on the group theory of system - level fault diagnosis that has been put forward by pro f zhang, the paper constructs newly the theory bases, improves on the matrix method, reinforces and consummates group arithmetic of all kinds of test mode, for the first time, analyses and discusses the equation solution of all kinds of models, so al1 the consistent fault patterns ( cfp ) could be found, straightly and high efficiently, even if the sufficient and necessary condition of t - diagnosable is dissatisfied and the complexity of system - level fault diagnosis is greatly decreased, especialy in strong t - diagnosabl6 system. last the simulation system ' s function has been extended and the application hotspot and the development trend have been disscussed

    本人在張大方教授等人提出的基於集團的系統級故障診斷的理論基礎上，重新構建了系統級故障診斷的理論基礎，定義了系統級故障診斷測試模型的三值表示；改進了系統級故障診斷的矩陣方法，重新定義了測試矩陣、鄰接矩陣、結點對、結點對的相連運算、極大準集團和斜加矩陣，由此能直觀、簡便地生成集團和極大獨立點集；補充和完善了各類測試模型的系統級故障診斷的集團演算法，通過定義集團測試邊和絕對故障集，簡化了集團診斷圖，由此能較易地找到所有的相容故障模式，即使不滿足t -可診斷性，大大減少了系統級故障診斷的復雜度，尤其是對強t -可診斷系統；首次分析探討了各類測試模型的方程解決，由此從另一角度能系統地、高效率地求出所有的相容故障模式（ cfp ） ：擴充了系統級故障診斷模擬系統的功能，快速、直觀和隨機地模擬實驗運行環境，進行清晰和正確的診斷，同時提供大量的實驗數據用於理論研究，優化演算法和設計。
  5. Firstly, we introduced the main idea, the formalized description, and the basic flow of co - evolution algorithm. then, from the point of pattern analyzation, we established the mathematics model of the multi - population co - evolution algorithm based on pattern replicator equation of the single population genetic algorithm, and made the theoretical analysis and compare for the method of best choice and the method of random choice of the co - evolution algorithm. we put forward a new method for the individual fitness evaluation, and validated the performance of the new method by the simulation experiment

    首先，在介紹了協進化演算法的核心思想、形式化描述和基本演算法流程的基礎上，從模式分析角度出發，建立了基於模式復制方程的多群體協進化演算法數學模型，對協進化演算法中的最優選擇法和隨機選擇法進行了理論分析與比較，提出了一種新的個體適應度評價方法，並通過模擬實驗驗證了新方法的效率。
  6. Genetic algorithm is a random searching method which simulates natural selection and evolution. this method has some advantages that other usual methods do n ' t have because of its two characters - - - - - - implicit parallelism and global searching

    遺傳演算法是模仿自然選擇與進化的隨機搜索方法，由於其隱含并行性和全局搜索特性，使其具有其他常規優化演算法無法擁有的優點。
  7. 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。
  8. Afterwards, combining mathematical model with simulation model, the moving air traffic flow in airport was further analyzed ; the algorithms of random flight generation, departure waiting list and taxiing flow optimization was proposed to construct the airport practical evaluation model

    然後，結合數學規劃模型和模擬模型，進一步分析了機場空側系統空中交通流的運動情況，提出了隨機飛機流增減演算法、跑道頭離場等待隊列和滑行飛機流優化演算法，構建以實際飛行計劃為依據的機場實際容量評估模型。
  9. In contrast to conventional optimization algorithms whose iterates are computed and analyzed deterministically, randomized methods rely on stochastic processes and random number / vector generation as part of the algorithm and / or its analysis

    傳統的最優化演算法中迭代的計算和分析是確定的，與之相比，隨機方法依靠隨機過程和隨機數字/向量的生成作為演算法和（或）演算法分析的一部分。
  10. The main achievements are as follows : according to the stochastic mechanism, a novel ant colony optimization algorithm with random perturbation behavior ( rpaco ) is presented in this paper. the new algorithm includes two important aspects : a amplify factor formulated by inverse exponent function is developed, which is used to avoid premature, on the other hand, corresponding transition strategy with random selection and perturbation behavior is designed, which is designed to prevent the algorithm from stagnating

    主要成果有：從隨機優化技術出發，提出了一種新穎的隨機擾動蟻群優化演算法，該演算法包含了兩個重要方面：一是提出了採用倒指數曲線來描述的放大因子，可以有效地防止早熟；二是設計出了相應的隨機選擇策略和擾動策略，避免演算法陷入停滯。
  11. Based on the geometric meaning of the reliability index, the optimization method for the reliability computation is constructed, and the correlated abnormal distribution random fields are addressed

    對非正態分佈、相關變量隨機場進行了處理，依據可靠指標的幾何意義建立了可靠度計算的優化演算法。
  12. Evolutionary computation including genetic algorithms, evolutionary progranuning, evolution strategies and genetic programming, is a class of stochastic search algorithms

    進化演算法是借鑒生物自然選擇和遺傳機制而產生的隨機搜索演算法，主要包括遺傳演算法、進化規劃、進化策略、遺傳編程。
  13. Selecting a proper neighborhood system and using the ability of markov random field to describe spatial dependence, mrf can be used to model the structural and textural behavior of images. selecting a appropriate model and making use of the optimal algorithm ? simulated annealing to estimate the parameters, wonderful image restoration can be achieved

    馬爾可夫隨機場能夠很好地描述空間連續性，用適當的鄰域系統，能對圖像的結構特徵建模；結合優化演算法?模擬退火，可以獲得滿意的圖像復原效果。
  14. In the front part of this paper we discussed the chemical reaction quantitive calculation ' s determinate algorithm and stochastic algorithm

    本文的前面詳細的討論了虛擬細胞中化學反應定量計算的確定型演算法和隨機型演算法。
  15. To overcome this difficulty, a newly proposed random search algorithm particle swarm optimization was applied to a global optimization method for the wastewater treatment network design

    因此，提出了應用新型隨機型演算法粒子群優化演算法求解上述復雜非線性最優化問題。
  16. Particle swarm algorithm was an optimized algorithm based on swarm intelligence

    摘要粒子群演算法是一類基於群智能的隨機優化演算法。
  17. As an uncertain stochastic optimal algorithm, ga is applied in kinds of fields in the past 20 years

    遺傳演算法作為一種非確定性的擬生態隨機優化演算法在過去20年中得到了廣泛的應用。
  18. It is shown that randomized algorithms can decrease the computational complexity dramatically instead of seeking worst case guarantees. in addition, examples in this paper show that employing randomized algorithms is very efficient and has obvious advantages especially when uncertain interval parameters appear multilinearly or nonlinearly in the characteristic polynomial coefficients

    研究表明，在不考慮最壞情況的意義下，隨機化演算法可以顯著降低計算復雜性，另外，當不確定區間參數以多線性或非線性的方式出現在特徵多項式系數中時，採用隨機化演算法具有明顯的優點並且是非常有效的，文中給出了計算實例。
  19. This paper combines learning theory with robust control and discusses robust control design problems involving real parameter uncertainty in control systems based on randomized algorithms

    將學習理論與魯棒控制相結合，採用隨機化演算法針對實參數不確定系統討論了魯棒控制器的設計問題。
  20. This paper studies the designing principle and common property of random algorithm by analyzing some instances of algorithms, and gives out a general designing method and principles for constructing random algorithm

    摘要通過常用演算法的實現實例和實驗結果，分析隨機化演算法的基本原理和共同性質，提出設計隨機化演算法的一般方法，並指出隨機化演算法的適用范圍和有效的隨機化演算法應具備的特點。
分享友人
分享到 Line

分享到臉書