algorithm optimization 中文意思是什麼
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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
優化關聯規則允許在規則中包含未初始化的屬性.優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現更加有趣的規則;另一方面，允許優化規則在前提和結果中各包含一個未初始化的數值屬性.對那些處理一個數值屬性的演算法進行直接的擴展，可以得到一個發現這種優化規則的簡單演算法.然而這種方法的性能很差，因此，為了改善性能，提出一種啟發式方法，它發現的是近似最優的規則.在人造數據集上的實驗結果表明，當優化規則包含兩個數值屬性時，優化興趣度因子得到的規則比優化可信度得到的規則更有趣.在真實數據集上的實驗結果表明，該演算法具有近似線性的可擴展性和較好的精度 -
Vsp is both a pivotal tache in logistic distribution optimization and indispensable in electronic commerce. it can increase logistic economic benefit and realize logistic rationalization. the systemic study on the theory and method of vsp is the base on the growth of logistic intensivism, the establishment of modem chain of command, the development of its and ec. now, the problem is not only applied to the field of auto transportation, but also to ship avigation communication electricity industry management computer application etc. the algorithm has been applied into many combinatorial optimization problems such as the trainman ' s shift arrangement in avigation the optimization design of cargo arrangement in ship company
對貨運車輛進行調度優化，可以提高物流經濟效益、實現物流科學化。對貨運車輛調度優化理論與方法進行系統研究是物流集約化發展、建立現代調度指揮系統、發展智能交通運輸系統和開展電子商務的基礎。目前，問題的形式已有很大發展，該問題以不僅僅局限於汽車運輸領域，在水運、航空、通訊、電力、工業管理、計算機應用等領域也有一定的應用，其演算法已用於航空乘務員輪班安排、輪船公司運送貨物經過港口與貨物安排的優化設計、交通車線路安排、生產系統中的計劃與控制等多種組合優化問題。 -
Third, this dissertation analyzes the complicacy of result size estimation problem for xml structure based query optimization compared to its counterpart in traditionally relational database, and proposes a full - featured result size estimation algorithm for xml query, sxm. for simple path expression query, this dissertation proposes a dynamic synopsis model for xml data based on the concept of f - stable and b - stable, xmap. for complicated path expression query, this dissertation adopts an improved bifocal sampling method for result size estimation
第三，分析了xml結構化查詢優化中的查詢代價估計問題與傳統關系型數據庫中的查詢代價估計問題的區別，提出了一套完整的xml結構化查詢代價估計體系sxm ，包括對簡單路徑表達進行查詢代價估計的動態xml數據統計模型xmap ，對復雜路徑表達進行查詢代價估計的雙焦點例舉法，以及對值匹配條件進行查詢代價估計的基於小波的多維直方圖方法，並能將多種查詢表達的查詢代價估計結果結合在一起，以給出一個完整的xpath查詢的代價估計。 -
By using network flow theory, the optimization problem of power conservation is transformed into the optimal bipartition problem of a flow network which can be partitioned by the max - flow mm - cut algorithm
利用網路流理論，將節約電量的最優化問題轉化為一個流網路的最優分割問題，而後者可採用最大流最小切割演算法實現最優切分。 -
Firstly, this paper deeply studied the simulated evolution theory, demonstrated the feasibility of resolving the optimization problems in the thermodynamic control systems with simulated evolution theory, and through the analysis of the calculability of this theory, created the general frame of the simulated evolution algorithm and created the theoretical base for building the evolution optimizing architecture of thermodynamic control systems
首先，對模擬進化理論進行深入研究，說明了運用模擬進化理論解決熱力控制系統優化問題的可行性，並通過對模擬進化理論的可計算性分析，建立了模擬進化演算法通用框架，為建立熱力控制系統進化優化體系建立了理論基礎。 -
To solve the capacitated dynamic lot - sizing problem in group technology cell, a method based on binary particle swarm optimization ( pso ) algorithm and immune memory mechanism was proposed and its implementation was illustrated in detail
摘要為求解基於成組單元有能力約束的生產批量計劃問題，提出了一種基於二進制粒子群演算法和免疫記憶機制相結合的方法，並闡明了該方法的具體實現過程。 -
A kind of new intelligent collective optimization method, bacterial colony chemotaxis ( bcc ) algorithm based on the description of bacterial colony chemotaxis, is presented
提出一種新型的智能群體優化方法?細菌群體趨藥性優化演算法。 -
This dissertation uses genetic algorithm to choose optimum parameters for the widely used pid controllers. in the optimization calculation process, mutation rate, cross rate and parameter range are adaptively changed to accelerate optimization process
本文用遺傳演算法優化工程中廣泛使用的pid控制器的參數，採用變參數區間、變交叉變異概率等方法提高計算速度，並對適應值函數進行了改進。 -
In the entitative routing stage, the macro - cell layout must be compressed for optimization area and time delay. it should be compared beauty with the routing result by manual. an algorithm, which is gridless, variable widths and minimizing layer permutation, is advanced for channel region
晶體管級實體布線階段，由於庫單元的復用性，要求庫單元版圖緊湊，即要求單元版圖在滿足各約束條件的前提下面積、性能優化程度較高，能與手工設計的版圖相媲美。 -
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。 -
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。 -
_ _ _ _ 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。 -
The application of genetic algorithm optimization toolbox in matlab
環境下遺傳演算法優化工具箱的應用 -
Research of svm - based image interpolation algorithm optimization
基於向量機的圖像插值演算法研究 -
Genetic algorithm optimization of crank - rocker mechanism applying fuzzy design
應用模糊設計的曲柄搖桿機構遺傳演算法優化 -
Genetic algorithm optimization based nonlinear ridge regression modeling method and its application in soft measurement
優化的非線性嶺回歸方法及其在軟測量中的應用 -
Application of lmmunogenetic algorithm optimization in intersection signal timing
免疫遺傳演算法在交叉口信號配時優化中的應用 -
Study of collision detection algorithm optimization based on hycd
基於并行的快速碰撞檢測演算法 -
Algorithm optimization and code optimization of ct image reconstruction
高爐計算機斷層成象技術成象演算法的研究 -
This dissertation mainly focuses on the jpeg decoding algorithm optimization and its realization in the embed system, shows the core of software realization
文中主要就多處理器嵌入式系統環境下jpeg解碼演算法的優化和實現作為重點，展示了軟體實現的核心。
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