optimization procedures中文是什么意思

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中文翻譯
造句

最佳化求解程序

procedures 程序; 規(guī)程; 過程
optimization n. 最佳化，最優(yōu)化。
acceptance procedures 承兌程序過程
accounting procedures 會計方法；會計程序; 會計實務過程
adjusting procedures 調(diào)整程序
airworthiness procedures 適航管理程序
amalgamation procedures 企業(yè)合并手續(xù)
application procedures 使用程序
approach procedures 進近程序
approval procedures 批核程序
archives of procedures 訴訟卷宗
arrival procedures 進場程序
associated procedures 有關程序
ation and procedures 文件和程序手冊工作組
billing procedures 開單; 開票程序
bookkeeping procedures 薄記程序; 簿記程序
challenge procedures 質(zhì)疑程序
class of procedures 程序分類
cleaning procedures 清潔程序
clinical procedures 臨床處理
closing procedures 結(jié)賬程序
club procedures 俱樂部規(guī)則
collection procedures 收款程序
conciliation procedures 調(diào)解程序
control procedures 控制程序

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例句與用法

The integrated optimization procedure is also provided, which aimed at the least loss after the disqualification has happened
并給出了質(zhì)量出現(xiàn)問題后的偏優(yōu)調(diào)整算法，該算法可使該項目的綜合指標達到最優(yōu)或滿足用戶要求。
The combination of the ann model of the designer's preference and the optimization procedure in this method generates the intelligent guiding for the multiobjective optimization process, and compromise programming is also used to find the final solution
建立pareto解到其評分值的映射的神經(jīng)網(wǎng)絡模型，以表達設計者的偏好。該神經(jīng)網(wǎng)絡模型和優(yōu)化過程的結(jié)合，實現(xiàn)了精確尋優(yōu)，并借助于折衷規(guī)劃得到最后的設計方案。
Optimized association rules are permitted to contain uninstantiated attributes . the optimization procedure is to determine the instantiations such that some measures of the roles are maximized . this paper tries to maximize interest to find more interesting rules . on the other hand, the approach permits the optimized association rule to contain uninstantiated numeric attributes in both the antecedence and the consequence . a naive algorithm of finding such optimized rules can be got by a straightforward extension of the algorithm for only one numeric attribute . unfortunately, that results in a poor performance . a heuristic algorithm that finds the approximate optimal rules is proposed to improve the performance . the experiments with the synthetic data sets show the advantages of interest over confidence on finding interesting rules with two attributes . the experiments with real data set show the approximate linear scalability and good accuracy of the algorithm
優(yōu)化關聯(lián)規(guī)則允許在規(guī)則中包含未初始化的屬性.優(yōu)化過程就是確定對這些屬性進行初始化,使得某些度量最大化.最大化興趣度因子用來發(fā)現(xiàn)更加有趣的規(guī)則;另一方面,允許優(yōu)化規(guī)則在前提和結(jié)果中各包含一個未初始化的數(shù)值屬性.對那些處理一個數(shù)值屬性的算法進行直接的擴展,可以得到一個發(fā)現(xiàn)這種優(yōu)化規(guī)則的簡單算法.然而這種方法的性能很差,因此,為了改善性能,提出一種啟發(fā)式方法,它發(fā)現(xiàn)的是近似最優(yōu)的規(guī)則.在人造數(shù)據(jù)集上的實驗結(jié)果表明,當優(yōu)化規(guī)則包含兩個數(shù)值屬性時,優(yōu)化興趣度因子得到的規(guī)則比優(yōu)化可信度得到的規(guī)則更有趣.在真實數(shù)據(jù)集上的實驗結(jié)果表明,該算法具有近似線性的可擴展性和較好的精度
Not only inter disciplinary design optimization was parallelized, but also inner disciplinary design optimization was executed in parallel, thus the optimization procedure can be speeded up greatly . the asynchronous parallel distributed coevolutionary mdo algorithm also has good flexibility, scalability and fault tolerance
不但實現(xiàn)了各學科的并行設計優(yōu)化，而且同一學科內(nèi)部也實現(xiàn)了并行優(yōu)化，從而能大大加快設計進程，同時具有很好的靈活性、可伸縮性和容錯性。
Finally, considering the flight distance of every airline in the airline-network, using “ seat kilometre ” as the unit of the capacity, the paper optimized the capacity assignment in airline-network . as the result of above, types of aircraft and the amount of them, the flight frequency and types of aircraft were optimally constituted . the two preceding optimization procedures are all based on balance of capacity expenditure and the market share of airlines, aiming at the maximum profit in whole airline-network
三、對整個航線網(wǎng)絡進行運力的優(yōu)化分配,首先考慮整個航線網(wǎng)絡中具體每條航線的航程,以“座公里”作為運力單位進行,將運力在整個航線網(wǎng)絡上優(yōu)化分配,根據(jù)優(yōu)化得到結(jié)果和公司擁有的機型和每種機型的數(shù)量,再對每條航線的航班頻率和機型進行優(yōu)化組合。
Computing result shows that : coevolutionary mdo algorithms are effective on this problem; distributed coevolutionary mdo algorithm is better than cooperate coevolutionary mdo algorithm; asynchronous parallel version of distributed coevolutionary mdo algorithm speeds up the optimization procedure greatly while maintains good convergence performance; multiobjective distributed coevolutionary mdo algorithm approximates the whole pareto optimal front well in only one single run, saves much computing cost than constraint method to obtain pareto optimal set, and greatly shortens search time by distributed asyn
計算結(jié)果表明：協(xié)同進化mdo算法求解該問題是有效的，其中分布式協(xié)同進化mdo算法優(yōu)于合作協(xié)同進化mdo算法；異步并行的分布式協(xié)同進化mdo算法在保證收斂性能的同時大大加快了優(yōu)化進程；多目標的分布式協(xié)同進化mdo算法僅一次運行就很好的逼近了問題的整個pareto最優(yōu)前沿，比用約束法求解pareto最優(yōu)集節(jié)省了大量計算開銷，而且通過網(wǎng)絡多臺微機的分布式并行執(zhí)行大大縮短了搜索時間。

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