頂層目標 的英文怎麼說

中文拼音 [dǐngcéngmùbiāo]
頂層目標 英文
top level goal
  • 頂 : i 名詞（人體或物體的最上部） crown; peak; top Ⅱ動詞1 （用頭支承） carry on the head 2 （從下面拱...
  • 層 : i 量詞1 （用於重疊、積累的東西 如樓層、階層、地層） storey; tier; stratum 2 （用於可以分項分步的...
  • 目 : Ⅰ名詞1 （眼睛） eye 2 （大項中再分的小項） item 3 [生物學] （把同一綱的生物按彼此相似的特徵分為幾...
  • 標 : Ⅰ名詞1 [書面語] （樹梢） treetop; the tip of a tree2 （枝節或表面） symptom; outside appearance; ...
  • 頂層 : attika
  • 目標 : 1. （對象） target; objective 2. （目的） goal; aim; destination
  1. It is under the management of shanghai jinhua hotel management company. covering a hotel area of 56000m2, the thirty - one - story hotel not including three - story basement is a symbolic building in zhenjiang. it s superior location, elegant european architecture as well as the first - class management will offer the best choice for all the tourists and businessmen

    飯店地處繁華市中心，總建築面積56000平方米，建築高度134m ，地上31層六層頂設花園游泳池， 29層旋轉觀光餐廳，地下3層1 2層為停車場，外型巍偉挺拔，具有典型歐式風格，是目前鎮江地區的標志性建築。
  2. This security target is a summary specification of the system and the base for the top level function specification

    該安全目標既是系統的一份概要設計說明書，也是系統頂層功能規范的基礎。
  3. Abstract : a new method, collaborative allocation ( ca ), is proposed to solve the large - scale optimum allocation problem in aircraft conceptual design. according to the characteristics of optimum allocation in aircraft conceptual design. the principle and mathematical model of ca are established. the optimum allocation problem is decomposed into one main optimization problem and several sub - optimization problems. a group of design requirements for subsystems are provided by the main system respectively, and the subsystems execute their own optimizations or further provide the detailed design requirements to the bottom components of aircraft, such as spars, ribs and skins, etc. the subsystems minimize the discrepancy between their own local variables and the corresponding allocated values, and then return the optimization results to main optimization. the main optimization is performed to reallocate the design requirements for improving the integration performance and progressing toward the compatibilities among subsystems. ca provides the general optimum allocation architecture and is easy to be carried out. furthermore, the concurrent computation can also be realized. two examples of optimum reliability allocation are used to describe the implementation procedure of ca for two - level allocation and three - level allocation respectively, and to validate preliminarily its correctness and effectiveness. it is shown that the developed method can be successfully used in optimum allocation of design requirements. then taking weight requirement allocation as example, the mathematical model and solution procedure for collaborative allocation of design requirements in aircraft conceptual design are briefly depicted

    文摘:探討了一種新的設計指標最優分配方法- -協同分配法，用於處理飛機頂層設計中的大規模設計指標最優分配問題.分析了飛機頂層設計中的設計指標最優分配特徵，據此給出了協同法的原理並建立了數學模型.協同法按設計指標分配關系將最優分配問題分解為主系統優化和子系統優化，主優化對子系統設計指標進行最優分配，子優化以最小化分配設計指標值與期望設計指標值之間的差異為目標，進行子系統最優設計，或對底層元件（如飛機翼梁、翼肋和翼盒等）進行設計指標最優分配，並把最優解信息反饋給主優化.主優化通過子優化最優解信息構成的一致性約束協調分配量，提高系統整體性能，並重新給出分配方案.主系統與子系統反復協調，直到得到設計指標最優分配方案.兩層可靠度指標分配算例初步驗證了本文方法的正確性與可行性，三層可靠度指標分配算例證明了本文方法的有效性.最後，以重量指標分配為例，簡要敘述了針對飛機頂層設計中設計指標協同分配的數學模型和求解思路
  4. A new method, collaborative allocation ( ca ), is proposed to solve the large - scale optimum allocation problem in aircraft conceptual design. according to the characteristics of optimum allocation in aircraft conceptual design. the principle and mathematical model of ca are established. the optimum allocation problem is decomposed into one main optimization problem and several sub - optimization problems. a group of design requirements for subsystems are provided by the main system respectively, and the subsystems execute their own optimizations or further provide the detailed design requirements to the bottom components of aircraft, such as spars, ribs and skins, etc. the subsystems minimize the discrepancy between their own local variables and the corresponding allocated values, and then return the optimization results to main optimization. the main optimization is performed to reallocate the design requirements for improving the integration performance and progressing toward the compatibilities among subsystems. ca provides the general optimum allocation architecture and is easy to be carried out. furthermore, the concurrent computation can also be realized. two examples of optimum reliability allocation are used to describe the implementation procedure of ca for two - level allocation and three - level allocation respectively, and to validate preliminarily its correctness and effectiveness. it is shown that the developed method can be successfully used in optimum allocation of design requirements. then taking weight requirement allocation as example, the mathematical model and solution procedure for collaborative allocation of design requirements in aircraft conceptual design are briefly depicted

    探討了一種新的設計指標最優分配方法- -協同分配法，用於處理飛機頂層設計中的大規模設計指標最優分配問題.分析了飛機頂層設計中的設計指標最優分配特徵，據此給出了協同法的原理並建立了數學模型.協同法按設計指標分配關系將最優分配問題分解為主系統優化和子系統優化，主優化對子系統設計指標進行最優分配，子優化以最小化分配設計指標值與期望設計指標值之間的差異為目標，進行子系統最優設計，或對底層元件（如飛機翼梁、翼肋和翼盒等）進行設計指標最優分配，並把最優解信息反饋給主優化.主優化通過子優化最優解信息構成的一致性約束協調分配量，提高系統整體性能，並重新給出分配方案.主系統與子系統反復協調，直到得到設計指標最優分配方案.兩層可靠度指標分配算例初步驗證了本文方法的正確性與可行性，三層可靠度指標分配算例證明了本文方法的有效性.最後，以重量指標分配為例，簡要敘述了針對飛機頂層設計中設計指標協同分配的數學模型和求解思路
  5. In upper level optimization, the thickness and geometry factors of composite skins and webs as well as other structural dimensions are taken as design variables. then, considering the behavior constraints and the side constraints, the structural mass is minimized by the mathematical programming technique. in lower level optimization, the mathematical programming technique or the genetic algorithm ( ga ) is used to search the practical stacking sequence of composite skins and webs to realize the given thickness and geometry factors from upper level optimization

    底層優化設西北工業大學博士學位論文計以復合材料蒙皮和腹板等層合板各分層的厚度（或鋪層數） 、鋪層角和鋪層順序為設計變量，以層合板的幾何因子與頂層優化設計給出的最優幾何因子之間的誤差最小為目標，考慮層合板厚度和製造工藝性約束，採用數學規劃方法或遺傳演算法（ geneticalgorithm ，簡稱ga ）求出底層最優設計變量。
  6. The sub - principle level is composed of many factors, which affect yield rate and risk, such as policies, interest rate, market and enterprises. finally, different fund portfolio forms the program level of the structure. it can also be regarded as a pyramid structure, with yield rate and risk value on the top, which is supported by many factors and different investment portfolio

    開放式基金的價值在確定的時間和投資額下，取決于收益率及風險因素，這是基金預定目標的基本準則層，影響收益率和風險的諸多因素，如政策、利率、市場及企業等，構成了遞階層次結構的子準則層，最後，不同的基金組合構成這個結構的方案層，也可以把它看成一個金字塔型的結構，塔頂是收益率和風險值，支撐塔頂的是諸多因素和不同的投資組合，本文將順著這個塔型，對相關因素予以自上而下的梳理和分析解剖。
  7. In the study of the multi - objective cooperative optimization on makespan, the relationship between various balancing indices with the system objective is analyzed ; the result of co - evolution optimization and result of serial optimization is compared and analyzed ; the algorithm is given. based on the decision schemes of co - evolution, the multi - objective decision is made. in the model of leveling the material flow, the model of minimizing usage rate is extended to all levels of materials in the flow line, and a new model is built up, based on the makespan ; the objective of leveling the material flow is combined with the line balancing firstly

    在基於製造周期（ makespan ）的多目標協同優化中，研究了各種平衡指標與系統目標之間的關系，將協同優化的結果與串列優化的結果進行了比較分析，給出了混合流水線協同優化與多目標協同優化的具體演算法，並且在多目標協同優化得到的決策方案集的基礎上，進行了多目標決策；在基於物流的多目標協同優化模型中，將零部件使用速率的均勻化模型推廣到流水線上各個層次物料供應（物流）的平準化問題，首次在makespan的基礎上將物流平準化目標與混合流水線的平衡設計有機結合起來，根據頂層物料和低層物料的不同特徵，分別建立了頂層物流的平準化模型和低層物流的平準化模型，進一步地研究了帶資源供應約束型的物流平準化模型。
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