Significant advances in parallel algorithms and architectures have demonstrated the potential for applying concurrent computation techniques to a wide variety of problems 廣泛開拓并行應(yīng)用體系是當(dāng)務(wù)之急。伴隨著國(guó)際互連網(wǎng)的發(fā)展,人們對(duì)多媒體信息的需求與日俱增。
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(shè)計(jì)指標(biāo)最優(yōu)分配方法- -協(xié)同分配法,用于處理飛機(jī)頂層設(shè)計(jì)中的大規(guī)模設(shè)計(jì)指標(biāo)最優(yōu)分配問題.分析了飛機(jī)頂層設(shè)計(jì)中的設(shè)計(jì)指標(biāo)最優(yōu)分配特征,據(jù)此給出了協(xié)同法的原理并建立了數(shù)學(xué)模型.協(xié)同法按設(shè)計(jì)指標(biāo)分配關(guān)系將最優(yōu)分配問題分解為主系統(tǒng)優(yōu)化和子系統(tǒng)優(yōu)化,主優(yōu)化對(duì)子系統(tǒng)設(shè)計(jì)指標(biāo)進(jìn)行最優(yōu)分配,子優(yōu)化以最小化分配設(shè)計(jì)指標(biāo)值與期望設(shè)計(jì)指標(biāo)值之間的差異為目標(biāo),進(jìn)行子系統(tǒng)最優(yōu)設(shè)計(jì),或?qū)Φ讓釉?如飛機(jī)翼梁、翼肋和翼盒等)進(jìn)行設(shè)計(jì)指標(biāo)最優(yōu)分配,并把最優(yōu)解信息反饋給主優(yōu)化.主優(yōu)化通過子優(yōu)化最優(yōu)解信息構(gòu)成的一致性約束協(xié)調(diào)分配量,提高系統(tǒng)整體性能,并重新給出分配方案.主系統(tǒng)與子系統(tǒng)反復(fù)協(xié)調(diào),直到得到設(shè)計(jì)指標(biāo)最優(yōu)分配方案.兩層可靠度指標(biāo)分配算例初步驗(yàn)證了本文方法的正確性與可行性,三層可靠度指標(biāo)分配算例證明了本文方法的有效性.最后,以重量指標(biāo)分配為例,簡(jiǎn)要敘述了針對(duì)飛機(jī)頂層設(shè)計(jì)中設(shè)計(jì)指標(biāo)協(xié)同分配的數(shù)學(xué)模型和求解思路
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(shè)計(jì)指標(biāo)最優(yōu)分配方法- -協(xié)同分配法,用于處理飛機(jī)頂層設(shè)計(jì)中的大規(guī)模設(shè)計(jì)指標(biāo)最優(yōu)分配問題.分析了飛機(jī)頂層設(shè)計(jì)中的設(shè)計(jì)指標(biāo)最優(yōu)分配特征,據(jù)此給出了協(xié)同法的原理并建立了數(shù)學(xué)模型.協(xié)同法按設(shè)計(jì)指標(biāo)分配關(guān)系將最優(yōu)分配問題分解為主系統(tǒng)優(yōu)化和子系統(tǒng)優(yōu)化,主優(yōu)化對(duì)子系統(tǒng)設(shè)計(jì)指標(biāo)進(jìn)行最優(yōu)分配,子優(yōu)化以最小化分配設(shè)計(jì)指標(biāo)值與期望設(shè)計(jì)指標(biāo)值之間的差異為目標(biāo),進(jìn)行子系統(tǒng)最優(yōu)設(shè)計(jì),或?qū)Φ讓釉?如飛機(jī)翼梁、翼肋和翼盒等)進(jìn)行設(shè)計(jì)指標(biāo)最優(yōu)分配,并把最優(yōu)解信息反饋給主優(yōu)化.主優(yōu)化通過子優(yōu)化最優(yōu)解信息構(gòu)成的一致性約束協(xié)調(diào)分配量,提高系統(tǒng)整體性能,并重新給出分配方案.主系統(tǒng)與子系統(tǒng)反復(fù)協(xié)調(diào),直到得到設(shè)計(jì)指標(biāo)最優(yōu)分配方案.兩層可靠度指標(biāo)分配算例初步驗(yàn)證了本文方法的正確性與可行性,三層可靠度指標(biāo)分配算例證明了本文方法的有效性.最后,以重量指標(biāo)分配為例,簡(jiǎn)要敘述了針對(duì)飛機(jī)頂層設(shè)計(jì)中設(shè)計(jì)指標(biāo)協(xié)同分配的數(shù)學(xué)模型和求解思路