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基于多目標(biāo)優(yōu)化的產(chǎn)品協(xié)同開發(fā)任務(wù)調(diào)度研究
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    摘要:

    針對(duì)目前產(chǎn)品開發(fā)任務(wù)調(diào)度研究的不足,，提出了基于多目標(biāo)優(yōu)化的產(chǎn)品協(xié)同開發(fā)任務(wù)調(diào)度理論,，并在此基礎(chǔ)上提出了多目標(biāo)優(yōu)化調(diào)度的綜合指標(biāo)確立方法,；針對(duì)調(diào)度問題的求解特點(diǎn),，提出了基于混合微粒群算法的任務(wù)調(diào)度算法,；最后,，運(yùn)用上述理論和算法,，給出了具體實(shí)例的計(jì)算結(jié)果,，并把該結(jié)果和單目標(biāo)優(yōu)化調(diào)度的結(jié)果相比較,，說明了基于多目標(biāo)優(yōu)化的產(chǎn)品協(xié)同開發(fā)任務(wù)調(diào)度算法的可行性和優(yōu)越性。

    Abstract:

    Aiming at lack of study of the task scheduling for product cooperative development, a new theory of task scheduling for product cooperative development based on multi-objective optimization has been advanced, and the corresponding evaluation procedure for comprehensive evaluation indexes was put forward. Then, aimed at the peculiarity of the task scheduling arithmetic, the arithmetic of task scheduling based on hybrid particle swarm optimization was detailed. At last, the result of an instance with above theory was brought out, and the feasibility and advantage of this theory has been proved by way of comparing the different results with multi-objective optimization and single-objective optimization. 

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蔣增強(qiáng),劉明周,趙韓,葛茂根.基于多目標(biāo)優(yōu)化的產(chǎn)品協(xié)同開發(fā)任務(wù)調(diào)度研究[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2008,39(3):154-158.[J]. Transactions of the Chinese Society for Agricultural Machinery,2008,39(3):154-158.

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