隨機規劃法 的英文怎麼說

中文拼音 [suíjīguīhuàfǎ]
隨機規劃法 英文
stochastic 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
  • 規 : Ⅰ名詞1 （畫圓形的工具） instrument for drawing circles 2 （規則; 成例） rule; regulation 3 [機械...
  • 劃 : 劃動詞1 （撥水前進） paddle; row 2 （合算） be to one s profit; pay 3 （用尖銳的東西在別的東西上...
  • 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. Based on consider hereinbefore, this dissertation discusses several aspects on the problem of the sustainable and optimum exploitation of groundwater resources as follows : ( 1 ) reviewed entirely the origin and evolvement of the concept " sustainable development ", stated and commented the study status in queue on " sustainable development " around national and international range, thorough discussed the science connotation about the concept " sustainable development " ; ( 2 ) looked back and commented across - the aboard some furthest basic concept and proposition related to groundwater resources, put forward self opinions on a few existent mistake points of view and chaos understandings ; ( 3 ) expatiated entirely on the content and meaning of the theory of changeable groundwater resources system, contrast with the traditional methods of groundwater resources calculation and evaluation, combined example to show the application of this theory ; ( 4 ) thorough analyzed the difficult and complexity to forecast the groundwater resources, fully stated the traditional methods of groundwater resources forecasting, pointed out the characteristic and applying condition of these forecasting method, introduced the main ideas and methods of wavelet analysis developed recently, and the matlab software be known as the fifths era computer language, and its accessory wavelet analysis toolbox, applied these methods and tools to analyze the groundwater dynamic curve, adopted the b - j method and morte - carlo method, combined with the theory of changeable groundwater resources system, discussed the new view on the forecast of groundwater resources ; ( 5 ) synthetically analyzed the characteristics and limitations of the present all kind of groundwater manage model, combined mathematical programming mathematical statistics random process and the theory of variation system of groundwater resources on the unite optimum attempter of surface water and groundwater, emphasized how to make the model more nicety, more simple, more practicality ; ( 6 ) analyzed the inside condition and outside condition to assure the sustainable and optimum exploi tation of groundwater resources, the inside conditions are the follows : correct resources idea, scientific methods of resources calculation and evaluation, credible forecast methods of resources, exercisable measures of resources management, the outside conditions are the follows : the development idea of high layer, the transform of manage system, the matched policy and rule of law, the adjusted of economy lever, the improve of cultural diathesis, the boosting up of water - saving consciousness and detail measures, the control of population rising, the prevention and cure of water pollute, the renew and rebuild of ecology ; ( 7 ) scan the sustainable and optimum exploitation of groundwater resources from the high level of metagalaxy, earth system science, and philosophy ; lint out the more directions on groundwater resources

    基於以上考慮，論文主要從以下幾方面對地下水資源可持續開發問題進行了比較深入的探討：全面回顧了「可持續發展」概念的由來與演變，對國內外「可持續發展」的研究現狀進行了述評，並對「可持續發展」概念的科學內涵進行了深入探討；對涉及地下水資源的一些最基本的概念和命題進行了全面的回顧和評述，對目前仍然存在的一些錯誤觀點和混亂認識提出了自己的見解；全面闡述了地下水資源變值系統理論的內容和意義，並與傳統的地下水資源計算評價方法進行了對比分析，結合實例具體說明了方法的應用；深入分析了地下水資源預測預報工作的極端重要性和復雜性，對傳統的地下水資源動態預測方法進行了全面的評述，指出了各類預測預報方法的特點及適用條件，對最近二十多年剛發展起來的小波分析技術的主要思想和方法及其應用范圍，以及號稱第五代計算機語言的matlab軟體和附帶的小波分析工具箱進行了介紹，並應用於地下水動態過程線的分析，採用時間序列中的b ? j法，蒙特卡羅方法，與地下水資源變值系統理論相結合，探討了地下水動態資料分析和地下水資源預測預報的新思路；綜合分析了現今各類地下水管理模型的特點及缺陷，將數學規劃、數理統計、隨機過程等與地下水變值系統理論相結合進行地表水地下水或多水源的聯合優化調度，使模型更準確、更實用；對保證地下水資源可持續開發的內部條件和外部條件進行了分析，內部河海人學博卜學位論文前言、摘要、目錄條件主要是正確的資源觀，科學的資源計算與評價方法，可靠的資源預測預報技術，可操作的資源管理措施，外部條件主要是高層發展思路、管理體制的變革、配套的政策法規、經濟杠桿的調節、人文素質的提高、節水意識的增強及具體節水措施、人口增長的控制、水體污染的防治、生態的恢復和重建等;從宇宙科學、地球系統科學及哲學的高度審視地下水資源的可持續開發;指出了地下水資源可持續開發的進一步研究方向。
  2. Study on calculating the parameters of stochastic linear programming model based on raga

    隨機線性規劃模型參數求解的基因方法
  3. According to the least twin multiplication to calculating the sensitivity index in several water production functions. thus, the writer obtains the fitted the value of the sensitivity index and the varied rule. at the same time, the writer puts forward a new method named rag a ( real coding based accelerating genetic algorithm ) and combines raga with dpsa to calculating the best irrigation system under the non - sufficient irrigation of well irrigation rice in sanjiang plain

    根據《隨機水文學》理論中的時間序列分析法，建立了適合三江平原井灌水稻需水量預報的非平穩時序隨機模型；通過分析降雨隨機特性，選定季節性時序隨機模型，建立了適合三江平原井灌水稻降雨預報的月平均降雨模型；根據最小二乘法，計算出幾種常用水分生產函數中的敏感指數及敏感系數，進而得到三江平原適宜採用的水分生產函數漠型及模型中敏感指數的變化規律；本文提出遺傳動態規劃法（ raga ? dp ） ，即採用改進的基於實數編碼的加速遺傳演算法（ realcodingbasedacceleratinggeneticalgorithm ，簡稱raga ）與動態規劃法（ dpsa ）相結合，推求非充分灌溉條件下三江平原井灌水稻的最優灌溉制度。
  4. A stochastic chance - constrained programming model is put forward for incremental measures program of oilfield, which uses the most increasing output as objective and takes both cost and work quantity into account. at the same time, the process of its hy - brid intelligent algorithm is also provided

    以油田措施增產最大化為目標，兼顧成本、措施量等目標，建立了油田措施配置的隨機機會約束規劃模型，並給出了模型的混合智能演算法。
  5. Theory of portfolio optimization is an important part of the modern ? nance in - vestment theories, which uses mathematical facilities such as convex analysis, random analysis, nonsmooth analysis, ( nonlinear ) programming etc, combined with the mean - variance method the basic method of modern portfolio theory. by setting up mathe - matical models, discussed the investment rules of ? nance market and o ? ered theoretic guide for investors

    投資組合優化理論是現代金融投資理論的重要組成部分，它運用凸分析、隨機分析、非光滑優化、 （非）線性規劃等數學工具，並與現代投資組合理論的基本方法均值方差方法相結合，通過建立數學模型討論金融市場投資規律並為個人或機構投資者提供理論指導。
  6. Topics covered include : randomized computation ; data structures ( hash tables, skip lists ) ; graph algorithms ( minimum spanning trees, shortest paths, minimum cuts ) ; geometric algorithms ( convex hulls, linear programming in fixed or arbitrary dimension ) ; approximate counting ; parallel algorithms ; online algorithms ; derandomization techniques ; and tools for probabilistic analysis of algorithms

    主題包括?隨機計算、資料結構（雜湊表、省略串列） 、圖論演演算法（最小擴張樹，最短路徑，最少切割） 、幾何演演算法（凸殼、在固定或任意維度的線性規劃） 、近似計數、平行演演算法、線上演演算法、消去隨機技術，以及演演算法的機率分析工具。
  7. Aimed at multiple - limit, multiple - object, non - linear, discrete of voltage / var optimization and control, on account of whole evolution of evolutionary programming, no demand for differentiability of optimal function, and random search, it can obtain global optimum with mayor probability, this paper solve optimal function with evolutionary programming

    在對優化的具體實現過程中，由於進化規劃著眼于整個整體的進化，對于所求解的優化問題無可微性要求，採用隨機搜索技術，能以較大的概率求解全局最優解的特點，針對電壓無功控制模型是一個多限制、多目標、非線性、離散的優化控制問題，因此應用進化規劃演算法進行模型的求解。
  8. The ameliorative algorithm for tsp of double manipulator ' s discrete task planning

    基於個體的雙機械手離散隨機合作任務規劃演算法研究
  9. As an application of succeeding, a numerical example of max - cut is given. 3. several semidefinite relaxation detection strategies of the cdma maximum likelihood multiuser detection are investigated. rounding, coordinate descent, cutting plane and branch and bound based on quadratic programming algorithm are presented to get the suboptirnal solution

    本文紿出了基於半定規劃模型尋求多用戶檢測問題次優解的幾種重要方法，包括隨機擾動法、坐標下降法、半定規劃的割平面法和二次規劃的分枝定界法等
  10. In view of the fact that the genetic algorithm of stochastic programming based on random simulated technology has succeed greatly, this paper points out that changing parameters of genetic algorithm can obtain a sequence of optimum values of goal function. taking these genetic algorithm values as sampling data, we can get fitting optimum function by using multivariate spline regression and get the lipschitzs constant of the fitting optimum function. so for any chance constrained programming problem, we can get its interval estimate

    鑒于基於隨機模擬技術的遺傳演算法在求解隨機規劃問題上的優越性，本文指出，改變遺傳演算法的參數條件，在此基礎上求得機會約束規劃的若干個最優值，以這些最優值為樣本點，利用多元樣條回歸，擬合得到最優值函數，進而求出最優值函數的lipschitzs常數，從而對于任一機會約束規劃問題，都可以得到它的一個區間估計。
  11. Then navigation asteroids are selected under a integral evaluation, the planning of the photoing sequence is handled with an improved genetic algorithm, along with a difference selection method which optimizes the ratio of navigation evaluation to resource consumption. a single axis randomized expanding algorithm is proposed to solve the large angle slew maneuvers planning problem. this algorithm randomly produces

    對于自主探測器大角度機動規劃問題，本文提出單軸隨機擴展演算法，單軸隨機演算法在生成隨機節點過程中充分利用鄰近點的信息，把規劃問題構造空間的維數由3減少到2 ，從而減少問題求解的搜索空間，最後利用前向搜索的方法對規劃路徑進行優化。
  12. A new numerical method for stochastic programs with recourse

    補償隨機規劃的一種新數值方法
  13. A genetic algorithm is used to solve this stochastic programming model

    採用遺傳演算法對該隨機規劃模型進行求解。
  14. At present there are two main methods to solving stochastic programming

    隨機規劃的解法目前不外乎兩種有效的途徑。
  15. The computational results imply that a genetic algorithm is effective to solve complicated stochastic programming models

    同時證實了遺傳演算法能夠有效地解決復雜的隨機規劃模型。
  16. Thus, according to mechanics of dealing with stochastic phenomena in programming theory, multi - objective stochastic programming model is developed to dispose parameter uncertainty. as a heuristic monte carlo approach with powerful global searching, genetic algorithm based on stochastic programming is utilized

    為了更好的處理實際生產中參數的不確定性，根據數學規劃論中處理隨機現象的機理，建立多目標隨機規劃模型，模型求解採用基於隨機規劃的遺傳演算法。
  17. Since the development of the simplex method many people have contributed to the growth of linear programming by developing its mathematical theory, devising efficient computational methods and codes, exploring new applications, and by their use of linear programming as an aiding tool for solving more complex problems, for instance, discrete programs, nonlinear programs, combinatorial problems, stochastic programming problems, and problems of optimal control

    由於單純形的發展，很多人致力於線性規劃的進步，通過發展它的數學理論、設計高效的計算方法和規則、探索新的應用，以及把線性規劃的使用作為解決更復雜問題的輔助工具，比如，離散規劃，非線性規劃，組合問題，隨機規劃問題和最優控制問題。
  18. The first - passage time of controlled quasi - hamilton systems have been studied by using the stochastic averaging method for quasi - hamitonian systems and the stochastic dynamical programming principle

    本文利用擬hamilton系統的隨機平均法及隨機動態規劃原理研究了具有控制的擬hamilton系統的首次穿越問題。
  19. Then, the dynamical programming equations and their associated boundary and final time conditions for the problems of maximization of reliability and of maximization of mean first - passage time are formulated. the optimal control laws are " bang - bang " controls which are derived from the dynamical programming equations and the control constraints

    然後利用隨機平均法及隨機動態規劃原理導出了以最大可靠性為目標的隨機最優控制策略，說明了當控制力為有界函數時，隨機最優控制即是bang - bang控制。
  20. The first is transforming it into equivalent deterministic programming and then solving it by using the theory of deterministic programming that has been developed successfully

    其第一種途徑是將隨機規劃轉化為各自的等價確定性規劃，然後利用已經發展得較為完善的確定性規劃的解法去解之。
分享友人
分享到 Line

分享到臉書