隨機優化 的英文怎麼說

中文拼音 [suíjīyōuhuà]
隨機優化 英文
ro random optimization
  • 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
  • 隨機 : random stochasticrandom
  1. In addition, the computer method is proposed to get the stochastic pile capacity and the random optimum analysis is done in virtue of the genetic algorithm which can easily think over the influence of the randomness of pile capacity on the internal force of capping beam based on the thorough analysis about the primary factors influencing the randomness of pile capacity. an optimization program is worked out for the analysis which can consider the pile - soil - cap interaction and the non - linear character of the foundation soil

    此外，本文對影響基樁承載力差異性的主要因素進行了深入分析，提出了基樁承載力隨機生成的計算機方法，並採用遺傳演算法對承臺梁內力進行隨機優化分析，可方便地考慮基樁承載力隨機性對承臺梁內力的影響，並開發出能考慮樁?土?承臺共同工作及地基土非線性特性的樁基承臺梁內力優化分析程序。
  2. The stochastic optimization method is brought forward, which makes a great amount of simulation of other bidder ' s biding in electrical market, as for every simulation, genetic algorithm is applied to solve the optimization problem, in consideration of the restraint of direct current network, one optimal bid is got, then using the average optimal bids in a great number of simulations as the last optimal bids. the program using c + + language of this method is programmed and examples are discussed for simulation, examples prove the bidding method ' s validity

    最後基於第五章的分析，提出了一種採用隨機優化和遺傳演算法相結合的競價方法，即對電力市場中各個競爭對手的報價作為隨機變量進行大量模擬，針對每一次模擬，在考慮直流潮流網路約束的情況下，用遺傳演算法求出一次模擬對應的最優報價，然後把大量模擬樣本求得的最優報價的均值，作為最優報價。
  3. Considering chance constrained programming is a well developed stochastic optimization method which can describe risk in an explicit manner, with the premised market trading protocols, a chance constrained programming based model for describing the optimal bidding strategies of distribution companies in a pool co - type transmission and distribution separated electricity market is presented, and solved by genetic algorithm

    鑒于機會約束規劃作為一類快速發展的隨機優化方法能以顯式的形式刻畫風險，針對以聯營體為基礎的輸配分開電力市場，在假設的市場交易規則基礎上，構造了在現貸市場中基於機會約束規劃的供電公司最優報價策略模型，並採用遺傳演算法求解。
  4. 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。
  5. Random optimum analysis of strip foundation beams of pile

    條形樁基承臺梁隨機優化分析
  6. 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。
  7. 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。
  8. As a locally performed model - free method, it can assist a markst participant to obtain its global optimal bidding stratcgy

    作為一種隨機優化方法，該方法可以幫助獨立市場成員獲取其全局最優的競價策略。
  9. Sa is a stochastic optimization technique that has been used to solve continuous, order discrete and muti - modal optimization problems

    模擬退火演算法是一種用於解決連續、有序離散和多模態優化問題的隨機優化技術。
  10. Evolutionary computation is a computational model that simulates evolutionary process in nature, and has been paid many attentions and studies by many researchers in the world

    進化計算是模擬生物進化過程與機制的一類隨機優化計算模型。自從80年代中期以來，世界各國都掀起了進化計算的研究熱潮。
  11. W7e use the random optimization method to solve this problem, proposing an adaptive genetic algorithm to design accelerator rf cavity. we also implement and verify this algorithm in fortran language

    論文採用隨機優化方法來進行求解，提出了一種用於加速器高頻腔設計的自適應遺傳演算法，並用fortran語言進行了實現及驗證。
  12. In this paper, the principles and characteristics of four stochastic optimistic algorithms are summarized, and their performances are analyzed and compared on the applications of seismic inversion problems

    作者主要針對地震勘探反演問題的應用綜述了這四種非線性隨機優化方法的原理和特點，並對它們的性能作了一定的分析和比較。
  13. The insurance company can also acquire various insurance products with stochastic interest by different combinations of parameters. establish a stochastic optimization model based on aggregate model of life insurance with stochastic interest

    保險公司通過參數的組合選擇，得到不同的隨機利率下的保險產品；同時，建立了隨機優化模型。
  14. Functions optimization for multi - modal functions optimization and non - stationary are one of important research subjects of function optimization. both of the problems are difficult to be solved by stochastic optimization algorithms in existence

    多模態函數和時變函數的隨機優化問題是函數優化的重要研究內容，也是一個難以解決的問題。
  15. Pseudo excitation method ( pem ) is used, thus one random process excitation can be transformed into a deterministic transient excitation, so the joint - random problem is turned into a single - random problem accurately, it can be solved easily by means of perturbation method and sequence orthogonal decomposition theory respectively. the probabilistic approach is used to transform stochastic optimization into deterministic optimization, therefore the optimization can be achieved through multiple objective decision making theory

    以虛擬激勵法為基礎，將隨機過程激勵轉化為確定性動力激勵，從而將復合隨機問題精確地轉化為僅結構參數具有隨機性的問題，分別利用攝動理論和次序正交分解理論推導了確定性動力激勵下隨機結構響應特徵，採用概率方法將隨機優化問題轉化為確定性優化問題，從而可以通過多目標決策理論進行結構優化設計。
  16. On the other hand, by combining fuzzy logic, evolutionary computation and stochastic optimal methods, structure and learning algorithms of neural networks are studied for neural control, which is one of the important branches of intelligent control

    而通過對神經網路的結構和學習演算法的研究，結合模糊邏輯、進化計算和隨機優化等方法，探討了智能控制中的重要的分支? ?神經網路控制的有關理論與技術。
  17. According to the complex behavior of strip foundation beams of pile, the internal stress distribution of foundation beams is influenced by the indetermination and random of the bearing capacity of pile foundations under the beams

    摘要在考慮基樁承載力差異性和樁土共同工作等因素的基礎上引入隨機優化分析理論，提出了基樁承載力隨機生成的計算機方法，並採用遺傳演算法對承臺梁內力進行隨機分析。
  18. Tolerance distributions are simulated by computer, a computer simulation program based on mc method has been used to analysis the model. after calculating part tolerance compounds of five levels, get acceptable capacitor and induce tolerance level compounds to assure the steady operation of power modules at certain confidence level. these will provide references to reliability design and analysis work of the power conditioning system

    根據能源模塊的性能要求，建立能源模塊容差分析的隨機優化模型，利用計算機模擬能源系統電路元器件的容差分佈，給出了基於montecarlo方法的計算機模擬求解程序，並對五種確定容差等級元器件組合進行求解，得到了保證能源模塊在一定置信水平下可靠運行的電容器、電感容差等級組合的可行解集，為能源系統的可靠性設計分析提供了依據。
  19. At last, the comparative calculation and the random optimum analysis about differences between dissimilar distributions of pile rigidity, different variance coefficients and variance relativity were done with the datum from engineering instances. some significant conclusions are also made from the discussing of the factors influencing pile capping beam the internal force

    最後結合工程實例，進行了比較計算，並對不同基樁剛度分佈、不同變異系數、以及不同相關性進行了隨機優化分析，對影響樁基承臺梁內力的各種影響因素及其規律進行了探討，得出了一些重要結論。
  20. In regard to nonlinear stochastic optimization in which the restraint function was nonlinearly expressed with stochastic parameters, the advanced first - order second - moment method was employed to study the structural optimization numerical model based on component reliability or failure pattern reliability and the method to transform the problem of stochastic optimization to that of certain determinate optimization

    摘要針對約束函數被隨機參數非線性表達的隨機非線性優化問題，採用改進均值一次二階矩法，研究基於元件可靠度或各失效模式可靠度的結構優化的數學模型，以及將隨機優化問題化為確定性優化問題的方法。
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