deterministic optimization中文是什么意思

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中文翻譯
造句

確定性最優(yōu)化

optimization n. 最佳化，最優(yōu)化。
deterministic 定數(shù)性; 決定論的, 命運(yùn)注定論的; 決定性的; 可定的; 明確的; 確定性的; 宿命的; 有定的
deterministic algorithm 決定型演算法 [確定性算法; 演算法確定性
deterministic approach 確定軌道模型
deterministic automation 決定性自動(dòng)機(jī); 確定性自動(dòng)化; 確定性自動(dòng)機(jī)
deterministic automaton 確定性自動(dòng)機(jī)
deterministic case 確定性案例; 確定性事件
deterministic channel 確定通道; 確定信道; 確定性信道
deterministic coefficient 確定性系數(shù)
deterministic control 確定性控制
deterministic cycle 確定性旋回
deterministic data 確定性數(shù)據(jù)
deterministic deconvolution 定數(shù)反褶積法; 確定性反褶積
deterministic delay 固定延滯
deterministic demand 確定性需求
deterministic dependence 確定性關(guān)系
deterministic diagram 確定性狀態(tài)圖
deterministic distribution 確定性分布
deterministic domain 確定性領(lǐng)域
deterministic effect 肯定性效應(yīng); 確定效應(yīng); 確定性效應(yīng)
deterministic equation 確定的方程
deterministic evaluation 決定性鑒定
deterministic expression 確定性表達(dá)式
deterministic forecast 確定性預(yù)測; 確定預(yù)報(bào)
deterministic parser 決定型語法剖析器 [確定性句法剖析程序
deterministic nonerasing stack automaton 確定的非抹除堆棧自動(dòng)機(jī)

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例句與用法

Because of the multimodal of the solution of the inverse problem , traditional deterministic optimization algorithm is often useless to solve this kind of problems
由于逆問題的解具有多峰值性，傳統(tǒng)的確定類優(yōu)化算法很難實(shí)現(xiàn)逆問題的求解。
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(shí)由學(xué)生來領(lǐng)導(dǎo)，使用學(xué)生自己做的達(dá)到學(xué)術(shù)會(huì)議標(biāo)準(zhǔn)的陳述報(bào)告。課程閱讀圍繞這學(xué)期的主題：確定性最佳化的隨機(jī)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(tǒng)一致，最佳化書報(bào)討論課程的重點(diǎn)將放在麻省理工學(xué)院一部分最佳化團(tuán)體感興趣的一個(gè)高級(jí)主題上：確定性最佳化的隨機(jī)方法。
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(lì)法為基礎(chǔ)，將隨機(jī)過程激勵(lì)轉(zhuǎn)化為確定性動(dòng)力激勵(lì)，從而將復(fù)合隨機(jī)問題精確地轉(zhuǎn)化為僅結(jié)構(gòu)參數(shù)具有隨機(jī)性的問題，分別利用攝動(dòng)理論和次序正交分解理論推導(dǎo)了確定性動(dòng)力激勵(lì)下隨機(jī)結(jié)構(gòu)響應(yīng)特征，采用概率方法將隨機(jī)優(yōu)化問題轉(zhuǎn)化為確定性優(yōu)化問題，從而可以通過多目標(biāo)決策理論進(jìn)行結(jié)構(gòu)優(yōu)化設(shè)計(jì)。
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
由于優(yōu)化方法在建模中有相當(dāng)重要的作用，因此，接著對(duì)具有全局尋優(yōu)性能的遺傳算法進(jìn)行了較為深入的研究，提出了基于優(yōu)生演進(jìn)策略的遺傳算法( ega ) ，使尋優(yōu)性能有較大的提高，并成功應(yīng)用于化工領(lǐng)域中重油熱解模型參數(shù)的估計(jì)。

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