函數最優化 的英文怎麼說
中文拼音 [hánshǔzuìyōuhuà]
函數最優化
英文
function optimization-
A linearization method for minimizing a particular class of quasi - differentiable functions
一類特殊擬可微函數最優化問題的線性化方法First, we reformulate the kkt systems of the constrained optimization problem and the symmetric variational inequality prpoblem into equivalent nonsrnooth equations by using the so called ncp functions
本文研究求解約束最優化問題和對稱變分不等式kkt系統的bfgs演算法。首先利用ncp函數將問題的kkt系統轉化為等價的非光滑方程組。In this paper matlab and vb are used to build a software which can predict absorption coefficient ' s of the underwater anechoic coatings from these analytical models. finally, some algorithm of the single parameter minimization, nonrestraint nonlinear minimization and restraint minimization in the optimization design theory are studied. the formulas of absorption coefficient of these analytical models are object functions
本論文利用各種解析模型的聲學設計理論,使用matlab與vb軟體建立了一套水下消聲覆蓋層吸聲系數預報軟體,研究了最優化設計中單參數最小化、無約束非線性最小化和有約束最小化理論的一些演算法,利用現有模型的吸聲系數計算公式作為目標函數,初步優化了一些結構的材料參數。In order to optimize the process, formulation of objective function is necessary.
為了使過程最優化,需要寫出目標函數的公式。In the 4th section we study the optimal consumption and portfolio wher e the stock price with mixed jump - diffusion process, and get the explicit solution of this problem with maximum expected uti1ity ( uti1ity function with constant coefficient and risk averseness ). in the 5th section of this thesis give an concrete example, consider optimal consumption and investment tactics with jump events, and get the optimal consumption and portfolios under maximize expected utility ( risk detesting utility function with constant coefficient etc. )
第四章考慮了股票價格的動態過程基於復合跳躍? ?擴散過程下的最優消費及投資策略,並求出了期望效用(常系數風險厭惡型效用函數)最大化下的最優消費和投資組合。第五章考慮了由於外部事件的影響導致股票價格的動態路徑出現跳躍時的最優消費及投資策略,並求出了期望效用(常系數風險厭惡型效用函數)最大化下的最優消費和投資組合。In this paper the response surface method ( rsm ) is introduced into the structure optimization of linear fire work departing installation, which make the target fuction explicit, adopt the big finite element procedure to numerically simulate the departing process of the fire work departing installation instead of the expensive substance experiment, establish reasonable optimization model and resolve it, the final result is satisfied, and analyse the question presented during optimization process in detail
本文把響應面方法引入到線性火工分離裝置的結構優化中,使得優化模型中的目標函數顯式化,採用大型有限元軟體對線性火工分離裝置的分離解鎖過程進行數值模擬,代替了代價昂貴的實際試驗,建立了科學合理的優化模型並求解,最終得到令人滿意的優化結果,並對優化過程中出現的問題進行了細致的分析。A method of fuzzy optimization design based on genetic algorithm is presented as a new method of parameter optimization design for dc double closed loop speed adjusting system. the method covers three steps. firstly, speed overshoot rate and settling time are chosen as performance indice according to the demand of engineering. these indice are normalized by using fuzzy membership function and then weighted to form objective function of optimization model of the system. secondly, the dynamic response curve of the system with corresponding parameters and peoformance indice are obtained by computerized numerical calculation and simulation. finally, parameters of engineering design are expanded as searching space ; and parameters of speed regulator and current regulator are taken as genes in chromosome. these genes in searching space are optimized to get best solution by way of genetic algorithm. as shown by experimental results, the parameters designed by this method are capable of significantly improving performance indice of the system, which proves that it is a practical and effective method
提出一種基於遺傳演算法的直流雙閉環調速系統參數優化設計方法.根據工程技術的要求,選用速度超調量和過渡時間作為參數優化性能指標.將該指標用模糊隸屬度函數歸一化,再加權平均形成系統優化模型的目標函數.採用計算機數值計算方法,通過模擬獲得系統對應參數的動態響應曲線及其性能指標.最後以工程設計的參數為搜索范圍,以速度調節器和電流調節器的參數為染色體中的基因,通過遺傳演算法在搜索范圍中優化這些基因,獲得優化解.實驗結果表明,所設計的參數能使系統性能指標有顯著提高This algorithm easily escapes from local optimal solution, have high searching efficiency, simple structure, convenient use. aiming at iteration, optimization and matlab optimization toolbox having low precision and difficulty to choose initial vector on acquiring nonlinear equations ’ solutions, equations ’ solution problem is translated into genetic algorithm optimization problem. nonlinear equations ’ usual genetic
針對迭代法、最優法、 matlab最優化工具箱求解非線性方程組中存在求解精度不高及初始矢量難選等問題,將方程組求解問題轉化為遺傳演算法函數優化問題,建立了非線性方程組通用的遺傳演算法解法,並將其用於汽車滑行試驗數據處理中。A niched - penalty approach is used to transform this optimal kinematical design problem to an unconstrained one. a kinematic accuracy comparison of the genetic designed fine - tuning stewart platform with the quasi - newtonian designed one is made. the comparison results have shown that the kinematic accuracy of the genetic designed fine - tuning stewart platform has a much higher accuracy and a compact structure than that of the quasi - newtonian designed one, which guarantees the accomplishment of high precision trajectory tracking and reduces the disturbance of wind to the feed - supporting system
以並聯機器人jacobian矩陣的條件數為優化設計的目標函數,提出了基於遺傳演算法的並聯機器人最優運動學性能結構參數優化設計方法,採用實值遺傳演算法,對精調stewart平臺進行了優化設計,得到了最優運動學的精調stewart平臺結構參數,為實現新一代大射電望遠鏡饋源指向跟蹤系統高精度軌跡跟蹤控制奠定了堅實的基礎。( 3 ) by the optimization experiments on several kinds of standard test functions, the calculation of off - line performances and the comparisons to another optimization algorithm, the effectiveness and the superiority of iga are got. ( 4 ) multi - object strategy that consists of the joints " best compliance critic and the location critic is proposed to uniquely determine the inverse kinamatics solution in planar redundant manipulator trajectory planning. next, by the introdu
3 、通過對兒類標準測試函數的優化實驗、優化離線性能的計算和與其他優化方法尋優效果的對比表明了的有效性和優越性; 4 、針對冗餘度機械手的軌跡規劃問題,提出了融合關節最佳柔順性準則和定位控制準則的多目標策略,從而在理論上保證了運動學逆解的唯一性。First regarding cutting speed, working feed as the variable of designing, this article establishes the multi - goal mathematics model of manufacturing cost, productivity, profit ; second according to the mathematics model, it adopts added - power optimum method with matlab and resolves the feasible optimum parameter with computer ; it provides the person who optimize with turning processing technology parameter, and can offer reference supporting other optimization of parameters
摘要以切削速度、進給量為設計變量,建立了以加工成本、生產率、利潤為多目標的數學模型;根據所得多目標綜合優化數學模型,採用加權函數法為優化方法,用matlab求出在約束限制可行域內最優參數,為車削加工工藝參數提供優化依據和優化量,可供其他參數的優化提供參考。Then its optimization basis is given through optimal function and its mathematical properties are discussed in the end
通過構造最優化函數進一步探討了廣義加權算術平均組合預測法的最優化理論依據及其數學性質。The concept of the optimize design is proposed and its mathematic foundation is analyzed in this paper. after comparing several optical calculation methods, the one that is suitable for the lubricating system is chosen and analyzed in detail about its concept, characteristic and some focal points. meanwhile, combining with the analysis of the relationship among the parts and structure of marine low - speed diesel lubricating system, the internal disciplinary, other pipeline system and main engine, aiming at reducing the initial investment and the running cost in a certain years, the mathematic model of the system is built and the object function and subjected conditions are set up
本課題闡述了最優化設計的概念,分析了最優化設計問題的數學基礎,比較了約束多維問題的幾種優化方法,選取了適合於潤滑油系統的優化設計方式,並對該方式的概念、特點及其應注意的問題進行了較詳細的分析;同時,結合海船低速柴油機潤滑油系統的組成部件及其結構以及潤滑油系統內部規律與其它管路系統、船舶主機的關系的分析,從經濟性的角度,以設備初投資及其在一定年限內的耗能費最低為目標,建立了本系統優化設計的數學模型,確立了目標函數和約束條件。4 by studying mechanical optimization method, combining theory of metal cutting processing, summarize the optimization function by the cutting parameter as optimization aim and corresponding restraint condition. adopt one of optimization methods - compound shape method - to calculate cutting parameter ' s optimization result
4運用機械最優化方法,結合金屬切削加工理論,推導了以切削參數為優四川大學碩i學位論文化目標的優化目標函數並確定了相應優化約束條件,採用優化方法中的復合形法實現了切削參數的最優化設計。Conditions of normal mode realization are deduced and optimized model with the multivariate mode indicator function as the target function is built. through solving the maximal eigenvalue problem, the original shaker force vector of appropriation is reached. then the realization approach of the optimal shaker force vector based on single shape principle is proposed and at the same time the automatization of normal mode appropriation is realized
對于模態物理分離技術的多點正弦激振純模態試驗技術,尋求其最佳激振力矢量是最為關鍵的環節,本文先推導出純模態實現的條件,建立以多變量模態指示函數為目標函數的優化模型,通過求解最大特徵值問題,得出適調純模態的初始激振力矢量,再提出以單純形原理為基礎的最佳激振力矢量的實現方法,同時也實現了純模態適調過程的自動化。In this paper , a novel fuzzy optimization model and algorithm to optimize the locations , sizes and service areas of mv / lv distribution transformers in urban distribution network planning which can consider the imprecision and possibility of spatial load, the voltage level constraints and the cost of objective function is presented
給出了考慮負荷、供電電壓水平約束和目標函數最小費用的不精細性的城市電網中壓配電變壓器位置、容量和供電范圍的模糊優化規劃模型及演算法。" multi - complex " method was selected as the implementation of multi - goal optimization, and was used in optimization of the process based on the model gained, searching for the optimal input parameters
本文使用鍋爐運行數據建立過程模型。通過改進的復合形優化演算法,尋找最優輸入變量組合,實現多目標函數的優化。A mathematical model to find contain sphere of space finite points was built, the problem was discussed that minimum contain sphere was transformed to function optimization and meanwhile an optimized solution was found with genetic algorithm
摘要建立了求空間點列包容球的數學模型,將求最小包容球問題轉化為函數優化問題,並用遺傳演算法解決了函數最優解的求解問題。The training object of the algorithm is minimization of the cost function in optimal control, variations of the weight values are obtained by the steepest descend gradient method and moreover an approximate treatment is made on the sensitivity matrix evaluation
本方法以瞬間最優控制價值函數最小化為訓練目標,考慮了地震輸入的能量,利用最速下降梯度法計算權值的改變量,並對敏感度矩陣進行近似處理,可解決神經網路控制中神經網路控制器難以獲得的訓練輸入輸出樣本對的難題。A new predictive control algorithm, the function - space model predictive control ( f - mpc ) method, was developed based on a function - space optimization of the control input for attitude control
使用一種基於空間函數最優化的函數空間模型預測控制新演算法( f - mpc )控制飛行器的姿態。分享友人