control flow optimization 中文意思是什麼

control flow optimization 解釋
控制流優化
  • control : n 1 支配，管理，管制，統制，控制；監督。2 抑制（力）；壓制，節制，拘束；【農業】防治。3 檢查；核...
  • flow : vi 1 流，流動。2 （血液等）流通，循環。3 流過；川流不息；（時間）飛逝；（言語等）流暢。4 （衣服、...
  • optimization : n. 最佳化，最優化。
  1. Numerical simulation of optimization of flow control devices in four - strand t type tundish

    型中間包控流裝置優化的數值模擬
  2. Optimization of control system for dynamoelectric axial - flow

    電動鼓風機控制系統的優化
  3. A full mathematical model of optimal flow pattern design withengineering constraints was put forward, based on modern optimal control theory. an optimal flow pattern design was presented for optimizing meridional channel of axial flow turbine. according to integral optimization of turbine stages, a full physical model and mathematical expression were put forward for proposition of optimal flow pattern, including all performance parameters in turbine stages. this problem was further recast into a typical form control to maximize specific performance index such as work or efficiency of stage with given initial state, fixed terminal condition and constraints for part of state terminal variables. the program was also worked out according penalty function method and conjugate gradient method. the optimal distribution of c1ur1 ( r1 ) was obtained according to constraint conditions and maximized objective function

    把近代最優控制論方法引入軸流透平葉片的設計，在優化的軸流透平子午通道內，建立包括透平級內所有性能參量的最優流型命題的完整的物理模型及其數學表達式，並歸化為一個在給定初始狀態、自變量終端固定、部分狀態變量終端受有約束的條件下，使級的某一性能指標（如級的功率）達到最優的最優控制問題，應用「代價函數法」及「共軛梯度法」編制計算程序，計算得到符合給定約束條件、並使目標函數取極值的最優環量分佈，結果是令人滿意的。
  4. In this paper we put forward two kinds of high level synthesis method based on researching the technology adopted in other hls or hls optimization. one is a specific hls for control intensive designs, we adopt control - flow graph as the internal representation and use the speculation technology during the scheduling

    本文提出了兩種類型的高級綜合方法，其一是提出了針對控制佔主要部分的電路的高級綜合方法，該方法採用了基於控制流圖的中間表示結構，在調度過程中採用了針對該電路特點的推測技術。
  5. In order to realize the optimum control of the temperature in the billet reheating furnace, the fuzzy control and expert control of the fuel flow, the optimization extreme of the air / fuel ratio, and the fuzzy pi control of the pressures in furnace are discussed

    摘要為了實現鋼坯加熱爐爐溫的優化控制，研究了燃料流量的模糊專家控制，空燃比的極值尋優以及爐膛壓力的模糊pi控制策略。
  6. In this paper based on the optimization design method using control theory for airfoils, a design method for multi - element airfoils is developed with the chimera grids. and optimization computation for reducing drag of shockwave of single airfoil in transonic flow is also successful

    本文的主要工作是：以在控制理論進行單段翼型優化設計的基礎上，利用嵌套網格技術將其發展為適用於帶襟翼多段翼型的優化設計。
  7. The system of traffic flow predictive control with pseudo set point, predictive model, moving optimization and feedback adjustment could realize performance assurance control of traffic flow system, which provides global analysis and decision making support for the prevention and recovery of traffic congestion

    基於偽給定、預測模型、滾動優化和反饋調節的交通流預測控制系統能夠實現有性能保障的交通流系統控制，為交通擁堵預防和擁堵恢復暢通提供全局性的分析和決策支持。
  8. Finally, genetic optimization research is summarized on several typical production scheduling problems. after expounding the general idea of genetic algorithm, the comparative advantages in contrast to the traditional algorithm, the basic characteristics of genetic algorithm and its theoretical base, the paper puts emphasis on the efficiency of genetic algorithm in the scheduling of flow shop, and puts forward an improving genetic algorithm : the ordinal genetic algorithm based on the heuristic rules. the new algorithm introduces into the initial group the solution of heuristic algorithm, and in the group structure adopts a strategy of first ordering according to the priority of the adaptive solution, and then defining a new way of choosing probability by segments, which provides more hybridizing opportunity for optimized individuals, and designs variation - control rule to prevent single population and partial optimal solution

    在論述了遺傳演算法的思想、與傳統搜索演算法的比較優勢、遺傳演算法的基本特徵和遺傳演算法的理論基礎（包括模式定理、隱含并行性、基因塊假設、欺騙問題和收斂性定理）后，重點探討了遺傳演算法在flowshop調度問題中的潛力和有效性；結合啟發式規則，提出了一個改進的遺傳演算法?基於啟發式規則的有序遺傳演算法，新演算法在初始種群中引入了啟發式演算法的解，在種群結構上採用了先按適應值優劣排序再分段確定選擇概率的新策略，使優質個體有更多的雜交機會，在變異中設計了變異控制規則，以防種群單一化，而陷入局部優化解。
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