deterministic optimization 中文意思是什麼
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The main contributions of this dissertation are as follows : ( 1 ) a eugenic evolution strategy was proposed to improve the efficiency of the conventional simple genetic algorithm ( sga ) searching. the eugenic evolution genetic algorithm ( ega ) collects the population information along the evolution of children generations and constructs a deterministic optimization algorithm, which will be embedded in the evolution process at appropriate stage to speed up the local searching
由於優化方法在建模中有相當重要的作用，因此，接著對具有全局尋優性能的遺傳演算法進行了較為深入的研究，提出了基於優生演進策略的遺傳演算法（ ega ） ，使尋優性能有較大的提高，並成功應用於化工領域中重油熱解模型參數的估計。 -
_ _ _ _ uncertain factors of macroscale inversion analysis of displacements are summed up. associated inversion model containing non - deterministic factors is proposed, i. e. " deterministic inversion of differential equation + systematic optimization technique = non - deterministic inversion ". the systematic optimization technique includes direct operator optimization, direct numerical analysis optimization, measurement design optimization, measured data processing, in - ersion algorithm optimization, and inverse operator regularization, etc. when this associated inversion technique is used in displacements back analysis, uncertain factors can be processed quantitatively
歸納了宏觀尺度位移反演分析的不確定性因素，提出了容納不確定性因素的位移反演分析的聯合反演模式，即「微分方程確定性反演+系統性優化技術=非確定性反演」的模式，並具體論述了聯合反演模式的系統性優化技術，包括正演運算元的優化、正演數值分析的優化、測量設計優化、觀測數據處理、反演演算法優化、反演運算元處理等六個優化方法。 -
14 che d. implementation issues of a deterministic transformationsystem for structured document query optimization. in proc
相反，我們直接通過等價變換的方法得到優化后的xml查詢表達式並執行之。 -
The main purpose of this dissertation is to establish the deterministic and the stochastic model of minimum weight of the structure, and the optimization is based on the structural dynamic response reliability. the dynamic response of the structure under stationary or non - stationary excitations is investigated, then the dynamic reliability is calculated and the design variables of the structures are optimized
本文重點建立了基於動力響應可靠性的結構優化設計最小重量的確定性和隨機性模型，研究了結構系統在平穩或非平穩隨機激勵作用下的隨機動力響應，並在此基礎上進行了結構動力可靠性計算和優化設計。 -
Students lead most of the class sessions in 15. 099, using the conference - quality presentations they have created. course readings revolve around this term ' s topic, randomized methods for deterministic optimization
在15 . 099課程中，大部分的課時由學生來領導，使用學生自己做的達到學術會議標準的陳述報告。課程閱讀圍繞這學期的主題：確定性最佳化的隨機方法。 -
In keeping with the tradition of the last twenty - some years, the readings in optimization seminar will focus on an advanced topic of interest to a portion of the mit optimization community : randomized methods for deterministic optimization
與過去20多年的傳統一致，最佳化書報討論課程的重點將放在麻省理工學院一部分最佳化團體感興趣的一個高級主題上：確定性最佳化的隨機方法。 -
Accomplishing deterministic xml query optimization
完成可確定性xml查詢優化 -
For some special cases, the deterministic convex optimization problems are derived
對某些特殊的情形，我們導出了魯棒線性最優化的確定性等價問題。 -
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。 -
Because of the multimodal of the solution of the inverse problem, traditional deterministic optimization algorithm is often useless to solve this kind of problems
由於逆問題的解具有多峰值性，傳統的確定類優化演算法很難實現逆問題的求解。 -
In this part, another global optimization method, direct is also tested. it is a deterministic method, not as ga, therefore possessing relatively stronger robustness. though the precision of the optimum it finds usually is not high, it has fast convergence rate and is also an appropriate choice for many engineering problems
在此部分還測試了另外一種全局優化方法direct ，該方法不同於遺傳演算法，是一種確定性演算法，有較強的健壯性，雖找到的最優解的精度不高，但收斂比較快，對於一般的工程問題也是一種合適的選擇。 -
The second is using deterministic annealing algorithm as optimizing framework, so as to realize overall optimization
其次採用確定性退火技術作為優化框架，從而可以實現全局尋優。
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